This is a table of type trigram and their frequencies. Use it to search & browse the list to learn more about your study carrel.
trigram | frequency |
---|---|
the number of | 3475 |
expert systems with | 3036 |
systems with applications | 2964 |
in order to | 2914 |
based on the | 2266 |
a set of | 1829 |
proceedings of the | 1731 |
t h e | 1639 |
the expert system | 1592 |
an expert system | 1568 |
one of the | 1478 |
the use of | 1390 |
in this paper | 1368 |
as well as | 1304 |
international conference on | 1287 |
in terms of | 1192 |
expert system for | 1188 |
in proceedings of | 1166 |
according to the | 1095 |
can be used | 1089 |
of the system | 1066 |
international journal of | 1031 |
o f the | 1017 |
the set of | 976 |
i o n | 947 |
the performance of | 901 |
is based on | 878 |
as shown in | 866 |
a n d | 862 |
with respect to | 858 |
is used to | 852 |
due to the | 847 |
the knowledge base | 846 |
t i o | 846 |
be used to | 773 |
in this case | 772 |
on the other | 771 |
of the proposed | 764 |
part of the | 754 |
there is a | 752 |
a number of | 751 |
it can be | 717 |
the other hand | 715 |
the results of | 713 |
shown in fig | 711 |
the development of | 705 |
x x x | 705 |
e n t | 697 |
ieee transactions on | 689 |
the value of | 685 |
in which the | 671 |
used in the | 646 |
a a a | 627 |
that can be | 623 |
the fact that | 597 |
a t i | 583 |
of the th | 580 |
performance of the | 580 |
value of the | 557 |
is shown in | 557 |
in this section | 550 |
some of the | 546 |
the case of | 544 |
f o r | 543 |
shown in figure | 536 |
fuzzy expert system | 524 |
it is not | 522 |
there is no | 516 |
the process of | 513 |
each of the | 506 |
of the expert | 505 |
the quality of | 498 |
c o m | 494 |
in the following | 493 |
be able to | 486 |
are used to | 485 |
most of the | 480 |
based expert system | 479 |
in the case | 476 |
such as the | 473 |
shown in table | 472 |
to evaluate the | 470 |
based on a | 467 |
related to the | 467 |
p r o | 463 |
i n g | 460 |
as a result | 457 |
results of the | 457 |
can be seen | 456 |
i i i | 452 |
of expert systems | 451 |
in the first | 448 |
c o n | 445 |
by means of | 444 |
is the number | 443 |
x sbref http | 434 |
in this study | 430 |
the problem of | 429 |
c c c | 427 |
is defined as | 427 |
an example of | 415 |
all rights reserved | 413 |
expert system is | 413 |
to determine the | 408 |
the context of | 408 |
in the same | 404 |
the degree of | 402 |
of the most | 401 |
n n n | 398 |
the system is | 396 |
which can be | 396 |
in the literature | 395 |
depending on the | 394 |
in addition to | 393 |
o n s | 391 |
the size of | 388 |
the application of | 387 |
the accuracy of | 383 |
to find the | 382 |
respect to the | 379 |
of the data | 378 |
m a n | 375 |
h e r | 371 |
to improve the | 370 |
the basis of | 369 |
of this paper | 369 |
all of the | 369 |
total number of | 368 |
the proposed method | 368 |
values of the | 368 |
are shown in | 367 |
the concept of | 366 |
the form of | 363 |
the values of | 362 |
it is possible | 361 |
the amount of | 361 |
this paper is | 358 |
the worker was | 357 |
the inference engine | 354 |
of the problem | 351 |
size of the | 350 |
well as the | 347 |
a t e | 347 |
in this work | 347 |
it is a | 343 |
the selection of | 340 |
can be found | 339 |
use of the | 339 |
is one of | 337 |
m e n | 336 |
is that the | 336 |
large number of | 335 |
the impact of | 333 |
at the same | 331 |
to the user | 330 |
on the basis | 329 |
of an expert | 329 |
need to be | 329 |
a g e | 328 |
analysis of the | 327 |
in the form | 326 |
in the next | 322 |
of the model | 321 |
in the field | 319 |
the level of | 317 |
of computer science | 317 |
to deal with | 317 |
t h a | 316 |
th international conference | 313 |
to be a | 313 |
the result of | 311 |
n o t | 310 |
the importance of | 310 |
by the user | 310 |
in other words | 308 |
in the context | 308 |
it has been | 308 |
the rest of | 308 |
to reduce the | 307 |
that it is | 306 |
information about the | 304 |
p e r | 303 |
the presence of | 301 |
o f a | 300 |
in the second | 299 |
the effect of | 297 |
of expert system | 297 |
the analysis of | 295 |
can also be | 294 |
accuracy of the | 294 |
this is a | 294 |
the total number | 294 |
the type of | 294 |
to obtain the | 292 |
associated with the | 291 |
is able to | 291 |
and it is | 291 |
state of the | 290 |
because of the | 290 |
a variety of | 288 |
t r a | 288 |
are based on | 288 |
a c t | 287 |
it is important | 286 |
user overlap levels | 286 |
the purpose of | 286 |
in this way | 285 |
the structure of | 284 |
the field of | 283 |
that there is | 282 |
on artificial intelligence | 281 |
of the knowledge | 281 |
h a t | 281 |
similar to the | 281 |
to identify the | 278 |
version of the | 278 |
depends on the | 277 |
be found in | 277 |
provided by the | 277 |
european journal of | 277 |
com locate eswa | 276 |
note that the | 275 |
e r e | 275 |
of the two | 275 |
the same time | 274 |
quality of the | 273 |
by using the | 273 |
in the previous | 273 |
of artificial intelligence | 272 |
included in the | 270 |
to be used | 270 |
a list of | 270 |
be used in | 269 |
the training set | 269 |
is possible to | 269 |
of all the | 268 |
the ability to | 267 |
description of the | 265 |
the probability of | 265 |
has to be | 265 |
this is the | 265 |
is important to | 264 |
of the first | 263 |
structure of the | 262 |
figure shows the | 261 |
in the system | 261 |
used as a | 260 |
be used for | 260 |
more than one | 260 |
p p p | 259 |
which is a | 259 |
rule rule rule | 258 |
the th international | 257 |
the end of | 257 |
t e r | 257 |
for a given | 257 |
by the system | 256 |
have to be | 256 |
point of view | 256 |
and so on | 255 |
s t r | 255 |
in computer science | 255 |
is not a | 255 |
expert systems for | 255 |
terms of the | 255 |
i n f | 255 |
of the same | 254 |
there are two | 254 |
e e e | 253 |
h e n | 253 |
a large number | 253 |
in the knowledge | 252 |
one or more | 251 |
expert system to | 250 |
used for the | 249 |
n c e | 249 |
to solve the | 248 |
a series of | 248 |
a total of | 248 |
n f o | 247 |
the most important | 247 |
it should be | 246 |
expert systems in | 245 |
the nature of | 245 |
lecture notes in | 244 |
evaluation of the | 244 |
the proposed approach | 243 |
the role of | 242 |
of operational research | 241 |
the effectiveness of | 241 |
t i c | 241 |
h h h | 240 |
so that the | 240 |
journal of operational | 238 |
in artificial intelligence | 238 |
applied to the | 238 |
the design of | 237 |
a and b | 237 |
be used as | 237 |
m a t | 237 |
based expert systems | 236 |
added to the | 235 |
which is the | 235 |
ti o n | 234 |
o m e | 232 |
described in section | 232 |
the university of | 231 |
in expert systems | 230 |
of user overlap | 229 |
a knowledge base | 229 |
conference on artificial | 229 |
corresponding to the | 229 |
is given by | 229 |
for each of | 228 |
n a l | 228 |
table shows the | 228 |
used by the | 228 |
of the algorithm | 228 |
into account the | 227 |
show that the | 227 |
o r m | 227 |
the length of | 227 |
the user to | 227 |
of the user | 226 |
different types of | 226 |
the definition of | 226 |
w w w | 226 |
the instant case | 226 |
computer science and | 225 |
the sum of | 225 |
the relationship between | 224 |
needs to be | 224 |
of the rule | 224 |
nature of the | 224 |
system for the | 223 |
save alert research | 223 |
alert research feed | 223 |
this means that | 222 |
p a g | 222 |
journal of the | 221 |
the combination of | 220 |
is necessary to | 219 |
a r t | 219 |
system based on | 219 |
with the same | 218 |
e t h | 216 |
corresponds to the | 216 |
ieee international conference | 216 |
given by the | 216 |
may not be | 216 |
the evaluation of | 215 |
to be the | 215 |
o m p | 215 |
o t h | 214 |
t e d | 214 |
compared to the | 213 |
development of a | 213 |
it is necessary | 213 |
to calculate the | 212 |
decision support systems | 212 |
e r a | 211 |
the complexity of | 211 |
it is also | 210 |
department of computer | 210 |
was used to | 210 |
taking into account | 210 |
r a c | 210 |
function of the | 209 |
c a t | 209 |
are presented in | 208 |
used in this | 207 |
there are several | 207 |
we use the | 206 |
have been proposed | 206 |
r e s | 206 |
to estimate the | 206 |
obtained from the | 206 |
that the proposed | 205 |
of the paper | 205 |
o u r | 205 |
is organized as | 204 |
it does not | 204 |
the choice of | 203 |
is used for | 203 |
the state of | 202 |
is presented in | 202 |
a n u | 202 |
the user is | 202 |
the aim of | 201 |
and the number | 201 |
referred to as | 201 |
expert systems and | 201 |
the rule base | 200 |
d e f | 200 |
of the following | 199 |
implementation of the | 199 |
science and technology | 199 |
to use the | 199 |
rest of the | 198 |
can be obtained | 198 |
the percentage of | 198 |
s t e | 198 |
n t e | 198 |
length of the | 197 |
can be applied | 197 |
we propose a | 197 |
is used as | 196 |
organized as follows | 196 |
and can be | 195 |
f f e | 195 |
t e m | 194 |
at the end | 194 |
i n t | 194 |
the proposed system | 194 |
representation of the | 194 |
of the number | 194 |
to test the | 194 |
it is the | 193 |
refers to the | 193 |
a p p | 193 |
in the data | 192 |
decision support system | 192 |
b l e | 192 |
v e r | 192 |
knowledge of the | 192 |
this can be | 192 |
means that the | 192 |
of a set | 192 |
it is definite | 191 |
if there is | 191 |
analytic hierarchy process | 191 |
we can see | 191 |
the data set | 190 |
n o w | 190 |
the difference between | 190 |
features of the | 190 |
have been used | 190 |
in such a | 190 |
a combination of | 189 |
to represent the | 189 |
is used in | 189 |
the results are | 189 |
c t i | 189 |
is the most | 189 |
the cost of | 189 |
to select the | 189 |
o n e | 188 |
a case study | 188 |
worker was not | 188 |
to develop a | 188 |
in this research | 188 |
changes in the | 187 |
according to their | 187 |
that of the | 187 |
t t t | 186 |
f e f | 186 |
e i n | 186 |
there is an | 186 |
a r e | 186 |
in the training | 186 |
user overlap level | 186 |
f f f | 186 |
the implementation of | 185 |
support vector machines | 185 |
see front matter | 185 |
the range of | 183 |
r a t | 182 |
at least one | 182 |
e x p | 182 |
of the input | 182 |
artificial intelligence and | 182 |
better than the | 182 |
n is the | 182 |
x and y | 181 |
the next section | 181 |
to measure the | 181 |
stored in the | 181 |
the proposed algorithm | 181 |
a fuzzy expert | 181 |
any of the | 180 |
consists of a | 180 |
d d d | 180 |
in the last | 180 |
fuzzy expert systems | 179 |
this paper we | 179 |
f e e | 179 |
a i n | 179 |
have the same | 179 |
de db conf | 179 |
the user interface | 179 |
a subset of | 179 |
in case of | 178 |
the goal of | 178 |
has been used | 178 |
of the other | 178 |
application of the | 178 |
d m a | 177 |
by the expert | 177 |
have been developed | 177 |
in the process | 176 |
difference between the | 176 |
this type of | 176 |
is given in | 176 |
to find a | 176 |
result of the | 176 |
be applied to | 176 |
it may be | 176 |
and data mining | 175 |
expert system in | 175 |
is applied to | 175 |
paper is organized | 175 |
taken into account | 175 |
e v e | 175 |
e m e | 175 |
to have a | 174 |
the system was | 174 |
e r t | 174 |
e f f | 174 |
the diagnosis of | 174 |
that have been | 174 |
the first step | 174 |
the efficiency of | 173 |
r m a | 173 |
is to be | 173 |
e f e | 173 |
can be represented | 173 |
and in the | 172 |
use of a | 172 |
in the future | 172 |
set of rules | 172 |
characteristics of the | 172 |
as it is | 172 |
used as the | 171 |
is less than | 171 |
of the process | 171 |
defined as the | 171 |
it would be | 171 |
k n o | 171 |
compared with the | 171 |
they do not | 171 |
the results obtained | 171 |
of the three | 171 |
to provide a | 171 |
to make the | 170 |
to the system | 170 |
r t i | 170 |
a result of | 170 |
the training data | 170 |
a b s | 170 |
shown in the | 170 |
a collection of | 169 |
the task of | 169 |
the possibility of | 169 |
the majority of | 169 |
take into account | 169 |
the list of | 168 |
is composed of | 168 |
complexity of the | 168 |
of the rules | 168 |
the system to | 168 |
b s t | 168 |
results for the | 168 |
development of the | 168 |
we do not | 168 |
fuzzy sets and | 168 |
a n t | 168 |
we need to | 167 |
is as follows | 167 |
o o o | 167 |
the user can | 167 |
to assess the | 167 |
this kind of | 167 |
of the results | 167 |
the characteristics of | 166 |
the output of | 166 |
the existence of | 166 |
of the ieee | 166 |
as an example | 166 |
c l e | 165 |
the effects of | 165 |
o r e | 165 |
of machine learning | 165 |
org licenses by | 164 |
for all the | 164 |
is the set | 164 |
o n t | 164 |
of the form | 164 |
so as to | 164 |
the scope of | 164 |
example of a | 163 |
accepted manuscript a | 163 |
m b e | 163 |
to create a | 163 |
expert systems are | 163 |
each of these | 163 |
the construction of | 163 |
the paper is | 162 |
the distribution of | 162 |
hindawi publishing corporation | 162 |
results show that | 162 |
to compute the | 162 |
artificial neural networks | 162 |
will be used | 162 |
fact that the | 162 |
between the two | 161 |
is equal to | 161 |
support vector machine | 161 |
o n a | 161 |
to the fact | 161 |
the same as | 160 |
journal of advanced | 160 |
likely to be | 160 |
the employer paid | 160 |
the need for | 160 |
to predict the | 160 |
impact on the | 160 |
as described in | 160 |
can be defined | 160 |
and the other | 160 |
d e s | 160 |
b d e | 159 |
of the acm | 159 |
a measure of | 159 |
as in the | 159 |
to the number | 159 |
to obtain a | 159 |
system can be | 158 |
be considered as | 158 |
of the main | 158 |
in which a | 158 |
shows that the | 158 |
parts of the | 158 |
found in the | 158 |
t c t | 158 |
there are many | 158 |
the objective function | 157 |
o u t | 157 |
p a r | 156 |
number of features | 156 |
information from the | 156 |
t h o | 156 |
to be able | 156 |
is a set | 156 |
i t i | 156 |
is represented by | 155 |
b e r | 155 |
if it is | 154 |
e e f | 154 |
publishing corporation http | 154 |
the behavior of | 154 |
the creation of | 154 |
as part of | 154 |
described in the | 154 |
addition to the | 154 |
of a rule | 153 |
end of the | 153 |
of the current | 153 |
set o f | 153 |
generated by the | 153 |
can be considered | 153 |
the lack of | 153 |
would like to | 152 |
is related to | 152 |
e s t | 152 |
the domain of | 152 |
in the current | 152 |
the nearest neighbour | 152 |
in recent years | 152 |
the ability of | 152 |
expert system and | 152 |
the identification of | 151 |
model of the | 151 |
as the number | 151 |
are able to | 151 |
of the fuzzy | 151 |
article in press | 151 |
equal to the | 151 |
notes in computer | 151 |
the similarity between | 151 |
m o r | 151 |
a sequence of | 151 |
in the domain | 151 |
can be easily | 150 |
y s t | 150 |
that are not | 150 |
the distance between | 150 |
to the same | 150 |
that the system | 150 |
two types of | 150 |
this is an | 150 |
is similar to | 150 |
in centimeters is | 149 |
presented in the | 149 |
in the past | 149 |
of the best | 149 |
there are no | 148 |
l e i | 148 |
the weight of | 148 |
a m e | 148 |
on machine learning | 148 |
a way that | 147 |
a t a | 147 |
s y s | 147 |
of the domain | 147 |
y y y | 147 |
of the new | 147 |
defined by the | 147 |
e a s | 146 |
in the development | 146 |
view of the | 146 |
a ti o | 146 |
they can be | 146 |
of the information | 145 |
comparison of the | 145 |
m o d | 145 |
of a given | 144 |
e n c | 144 |
i n e | 144 |
in contrast to | 144 |
a group of | 144 |
the objective of | 144 |
m e t | 144 |
are given in | 144 |
this is because | 144 |
the area of | 144 |
of the decision | 144 |
are used in | 144 |
e p a | 144 |
is defined by | 144 |
has been developed | 143 |
the sth percentile | 143 |
a neural network | 143 |
is difficult to | 143 |
fuzzy set theory | 143 |
x p e | 143 |
r e n | 143 |
of the original | 142 |
and only if | 142 |
a framework for | 142 |
parameters of the | 142 |
of the work | 142 |
overview of the | 142 |
values for the | 142 |
the meaning of | 142 |
i c l | 142 |
n u m | 142 |
the generation of | 141 |
is set to | 141 |
the notion of | 141 |
s s s | 141 |
f b d | 141 |
r o m | 141 |
understanding of the | 141 |
v v v | 141 |
be noted that | 141 |
t i n | 141 |
of the time | 140 |
supported by the | 140 |
aspects of the | 140 |
a function of | 140 |
a lot of | 140 |
to increase the | 140 |
is an important | 139 |
john wiley sons | 139 |
is associated with | 139 |
with the highest | 139 |
based on their | 139 |
the problem is | 139 |
number of rules | 139 |
and expert systems | 139 |
to describe the | 139 |
a s e | 139 |
context of the | 138 |
is described in | 138 |
c c e | 138 |
in the proposed | 138 |
o r t | 137 |
the model is | 137 |
i c a | 137 |
in the database | 137 |
is greater than | 137 |
e r s | 137 |
out of the | 137 |
e d e | 137 |
in the rule | 137 |
o w l | 137 |
u m b | 137 |
case of the | 137 |
school of business | 137 |
of the test | 136 |
artificial neural network | 136 |
e s e | 136 |
involved in the | 136 |
to the best | 136 |
are used for | 136 |
number of the | 136 |
upper and lower | 136 |
by using a | 136 |
there are some | 135 |
t a t | 135 |
presented in this | 135 |
the order of | 135 |
research and development | 135 |
expert system shell | 135 |
the analytic hierarchy | 135 |
to model the | 135 |
that there are | 135 |
a model of | 134 |
van den poel | 134 |
the idea of | 134 |
the semantic web | 134 |
the results for | 133 |
for this reason | 133 |
in our case | 133 |
associated with a | 133 |
an overview of | 133 |
of the international | 133 |
d a t | 132 |
e c t | 132 |
the expert systems | 132 |
extracted from the | 132 |
level of the | 132 |
expert system based | 132 |
db conf semweb | 132 |
represented by a | 132 |
expert system was | 132 |
of the art | 132 |
f r o | 132 |
conf semweb om | 132 |
we want to | 132 |
the knowledge of | 132 |
of this study | 132 |
m i n | 132 |
n d i | 131 |
is easy to | 131 |
contents lists available | 131 |
to compare the | 131 |
the time of | 131 |
o n o | 131 |
is the same | 131 |
lists available at | 131 |
m e a | 131 |
p r e | 131 |
they are not | 131 |
m p o | 131 |
joint conference on | 131 |
the system and | 131 |
yes yes yes | 130 |
h o m | 130 |
properties of the | 130 |
selection of the | 130 |
in some cases | 130 |
natural language processing | 130 |
presented in section | 130 |
the parameters of | 130 |
n t i | 130 |
considered to be | 130 |
section describes the | 130 |
example of the | 129 |
a t t | 129 |
e l s | 129 |
because it is | 129 |
if and only | 129 |
data mining and | 129 |
l o c | 129 |
deal with the | 129 |
this is not | 129 |
the search space | 129 |
be seen in | 129 |
to the problem | 128 |
for this purpose | 128 |
derived from the | 128 |
we used the | 128 |
for expert systems | 128 |
the neural network | 128 |
e s s | 128 |
a part of | 128 |
journal of computer | 128 |
it is clear | 128 |
is that it | 128 |
is due to | 128 |
approach to the | 127 |
for the first | 127 |
the theory of | 127 |
do not have | 127 |
r n a | 127 |
focus on the | 127 |
present in the | 127 |
whether or not | 126 |
sum of the | 126 |
is designed to | 126 |
goal is to | 126 |
interpretation of the | 126 |
o c a | 126 |
it will be | 126 |
e s w | 126 |
a decision of | 126 |
m a y | 126 |
of the total | 126 |
the system can | 126 |
in the design | 126 |
output of the | 126 |
in the model | 126 |
wide range of | 126 |
sciencedirect expert systems | 126 |
it is difficult | 125 |
to make a | 125 |
m a r | 125 |
the th percentile | 125 |
could be used | 125 |
found to be | 124 |
a cc ep | 124 |
e c o | 124 |
published by elsevier | 124 |
te d m | 124 |
presented in table | 124 |
e v i | 124 |
expert system can | 124 |
k k k | 124 |
to ensure that | 124 |
neural networks and | 124 |
is equivalent to | 124 |
manuscript a cc | 124 |
ep te d | 124 |
cc ep te | 124 |
in the area | 124 |
sc ri pt | 124 |
world wide web | 124 |
l e m | 124 |
the basis for | 124 |
n u sc | 124 |
in relation to | 124 |
system is a | 124 |
in the sense | 124 |
u sc ri | 124 |
review of the | 124 |
in comparison to | 123 |
set of all | 123 |
the experimental results | 123 |
rules in the | 123 |
i e r | 123 |
t e e | 123 |
relationship between the | 123 |
to produce a | 123 |
for a particular | 122 |
knowledge base and | 122 |
positive and negative | 122 |
are related to | 122 |
determined by the | 122 |
number of clusters | 122 |
the high court | 122 |
this approach is | 122 |
s e v | 122 |
r a m | 122 |
x is a | 122 |
a n a | 121 |
the department of | 121 |
u r n | 121 |
correspond to the | 121 |
the next step | 121 |
maximum number of | 121 |
the construction industry | 121 |
m m m | 121 |
with regard to | 121 |
is in the | 120 |
allows us to | 120 |
depend on the | 120 |
the representation of | 120 |
a human expert | 120 |
the proposed model | 120 |
is not known | 120 |
for the same | 120 |
to that of | 120 |
the study of | 120 |
l s e | 119 |
of the cases | 119 |
the influence of | 119 |
was to be | 119 |
of the second | 119 |
of the training | 119 |
v i e | 119 |
to each other | 119 |
of this research | 119 |
that has been | 119 |
of the target | 119 |
input and output | 119 |
a range of | 119 |
a and a | 119 |
of the network | 119 |
r e a | 119 |
be one of | 118 |
b e e | 118 |
is not possible | 118 |
knowledge base is | 118 |
to expert systems | 118 |
t o r | 118 |
on the same | 118 |
effectiveness of the | 118 |
s t a | 118 |
should be noted | 118 |
t a n | 117 |
n o f | 117 |
te m s | 117 |
the frequency of | 117 |
be seen as | 117 |
paid to the | 117 |
cited on page | 117 |
d e d | 117 |
j o u | 117 |
the knowledge engineer | 117 |
the absence of | 117 |
t o f | 116 |
international workshop on | 116 |
to generate a | 116 |
as can be | 116 |
small number of | 116 |
the classification of | 116 |
the method of | 116 |
distribution of the | 116 |
o m a | 116 |
this work is | 116 |
access to the | 116 |
u l e | 116 |
ys te m | 115 |
of the applicant | 115 |
n o n | 115 |
to support the | 115 |
of the high | 115 |
h o w | 115 |
e e s | 115 |
we have to | 115 |
to build a | 115 |
s ys te | 115 |
o u n | 115 |
conference on machine | 115 |
the detection of | 115 |
in this area | 115 |
advantage of the | 115 |
were used to | 115 |
m e p | 115 |
that do not | 115 |
development of an | 115 |
o n d | 114 |
a l h | 114 |
of the image | 114 |
zhang et al | 114 |
r o f | 114 |
f a c | 114 |
science and applications | 114 |
been used to | 114 |
different user overlap | 114 |
s w a | 114 |
g g g | 114 |
cite this article | 114 |
precision and recall | 114 |
it is worth | 114 |
is capable of | 114 |
knowledge about the | 114 |
method based on | 114 |
and future work | 114 |
l h o | 113 |
can be made | 113 |
system has been | 113 |
the success of | 113 |
such that the | 113 |
p o r | 113 |
are to be | 113 |
in accordance with | 113 |
a review of | 113 |
and the results | 113 |
e o f | 113 |
ieee computer society | 113 |
system and the | 113 |
the advantages of | 113 |
a wide range | 112 |
a b c | 112 |
this section we | 112 |
have not been | 112 |
i t h | 112 |
m l o | 112 |
close to the | 112 |
the beginning of | 112 |
seems to be | 112 |
from the user | 112 |
the best solution | 112 |
to minimize the | 112 |
order to obtain | 112 |
f d f | 112 |
o r a | 112 |
contained in the | 112 |
the most common | 112 |
o m l | 112 |
assigned to the | 112 |
s e n | 112 |
for computational linguistics | 112 |
obtained by the | 112 |
e a c | 111 |
a value of | 111 |
many of the | 111 |
the test set | 111 |
n a n | 111 |
indicates that the | 111 |
belong to the | 111 |
the system will | 111 |
in a particular | 111 |
the work of | 111 |
affected by the | 111 |
been used in | 111 |
is divided into | 111 |
time of the | 111 |
l e d | 111 |
com science journal | 110 |
association for computational | 110 |
of the object | 110 |
and number of | 110 |
details of the | 110 |
b b b | 110 |
can be described | 110 |
elements of the | 110 |
c e d | 110 |
artificial intelligence in | 110 |
a survey of | 110 |
of intelligent systems | 110 |
will not be | 110 |
c t c | 110 |
the same way | 110 |
basis of the | 110 |
the need to | 110 |
in the construction | 109 |
can be calculated | 109 |
i v e | 109 |
n n h | 109 |
h n n | 109 |
f d e | 109 |
o d u | 109 |
be viewed as | 109 |
of fuzzy logic | 109 |
is clear that | 109 |
what is the | 109 |
is referred to | 109 |
pattern analysis and | 109 |
should not be | 109 |
assume that the | 109 |
n t s | 109 |
to be done | 109 |
can be expressed | 109 |
science journal http | 108 |
rules can be | 108 |
in this example | 108 |
we assume that | 108 |
a comparison of | 108 |
the sequence of | 108 |
than that of | 108 |
to be more | 108 |
the elements of | 108 |
l e s | 108 |
of the different | 108 |
is called the | 108 |
u r e | 108 |
considered as a | 108 |
the help of | 108 |
the strength of | 108 |
a c c | 108 |
model for the | 108 |
be defined as | 108 |
of the project | 108 |
increase in the | 108 |
but it is | 108 |
of the solution | 108 |
behavior of the | 107 |
the user overlap | 107 |
results in the | 107 |
with applications j | 107 |
x i j | 107 |
to the other | 107 |
p u t | 107 |
e n d | 107 |
is to find | 107 |
applications j o | 107 |
less than the | 107 |
mapped to a | 107 |
along with the | 107 |
of a new | 107 |
the work was | 107 |
not known whether | 107 |
model based on | 107 |
e r o | 107 |
her his own | 106 |
the most popular | 106 |
greater than the | 106 |
ltd expert systems | 106 |
advanced computer science | 106 |
in most cases | 106 |
the rules of | 106 |
u n d | 106 |
in the experiments | 106 |
sets and systems | 106 |
a n y | 106 |
to the knowledge | 106 |
of advanced computer | 106 |
t e n | 106 |
focused on the | 106 |
in a given | 106 |
that we have | 106 |
to provide the | 106 |
systems have been | 106 |
the position of | 106 |
p l e | 105 |
a n c | 105 |
o m m | 105 |
publishing ltd expert | 105 |
e m a | 105 |
differences between the | 105 |
the validity of | 105 |
m p l | 105 |
average number of | 105 |
does not have | 105 |
is assigned to | 105 |
some of these | 105 |
the features of | 105 |
journal of engineering | 105 |
is not the | 105 |
data in the | 105 |
this paper presents | 105 |
such a way | 105 |
university of technology | 105 |
has not been | 105 |
of the research | 105 |
performed by the | 105 |
can be observed | 105 |
procedia computer science | 104 |
represented by the | 104 |
to the following | 104 |
available in the | 104 |
the occurrence of | 104 |
by the following | 104 |
n t r | 104 |
area of the | 104 |
x h http | 104 |
defined as follows | 104 |
e m p | 104 |
would be one | 104 |
d f b | 104 |
that will be | 104 |
p o s | 104 |
aspect of the | 104 |
in this context | 104 |
analysis and machine | 104 |
n d e | 104 |
e f d | 104 |
there are three | 104 |
the management of | 104 |
position of the | 104 |
of this work | 103 |
we use a | 103 |
d g e | 103 |
r a l | 103 |
o d e | 103 |
e e d | 103 |
carried out by | 103 |
can be done | 103 |
please cite this | 103 |
the chattel was | 103 |
n i n | 103 |
the algorithm is | 103 |
discussed in section | 103 |
that could be | 103 |
and machine intelligence | 103 |
together with the | 103 |
a c h | 103 |
a new approach | 103 |
majority of the | 103 |
the proportion of | 102 |
l l l | 102 |
systems in the | 102 |
r o u | 102 |
knowledge discovery and | 102 |
o n c | 102 |
the knowledge acquisition | 102 |
e d g | 102 |
d e e | 102 |
e a t | 102 |
the real world | 102 |
information on the | 102 |
to analyze the | 102 |
international joint conference | 102 |
h a n | 102 |
i m p | 102 |
based on this | 102 |
assumed to be | 102 |
model can be | 102 |
input to the | 102 |
expert system that | 102 |
b c b | 102 |
e d f | 102 |
to achieve the | 102 |
importance of the | 102 |
means of a | 102 |
to achieve a | 101 |
objective is to | 101 |
is the case | 101 |
solve the problem | 101 |
the integration of | 101 |
particle swarm optimization | 101 |
g e www | 101 |
conference on information | 101 |
that the user | 101 |
is a very | 101 |
defined as a | 101 |
h o d | 101 |
the benefits of | 101 |
the evolution of | 101 |
choose and book | 101 |
o u s | 101 |
we believe that | 101 |
the journal of | 101 |
was based on | 100 |
transactions on systems | 100 |
are summarized in | 100 |
can then be | 100 |
the best results | 100 |
the weights of | 100 |
was carried out | 100 |
two or more | 100 |
the calculation of | 100 |
to avoid the | 100 |
and for the | 100 |
can see that | 100 |
given in table | 100 |
and the worker | 100 |
consists of the | 100 |
to the next | 100 |
known whether the | 100 |
the other two | 100 |
due to its | 100 |
decision of the | 100 |
represented as a | 100 |
the name of | 99 |
a b o | 99 |
knowledge in the | 99 |
at the beginning | 99 |
e e n | 99 |
when it is | 99 |
number of iterations | 99 |
the ratio of | 99 |
of the american | 99 |
are described in | 99 |
to demonstrate the | 99 |
of the search | 99 |
is determined by | 99 |
may lead to | 99 |
are as follows | 99 |
to show the | 99 |
to get the | 99 |
expert systems have | 99 |
available at sciencedirect | 99 |
level in the | 99 |
the target domain | 99 |
n h h | 99 |
the comparison of | 99 |
illustrated in figure | 99 |
m o n | 98 |
conference on computer | 98 |
n t o | 98 |
rule based expert | 98 |
is an open | 98 |
or equal to | 98 |
c h e | 98 |
o w n | 98 |
in our experiments | 98 |
the best of | 98 |
in the original | 98 |
c o u | 98 |
of neural networks | 98 |
be regarded as | 98 |
efficiency of the | 98 |
blackwell publishing ltd | 98 |
n t a | 98 |
estimation of the | 97 |
performed on the | 97 |
has been shown | 97 |
proposed in this | 97 |
l a t | 97 |
on the user | 97 |
c a l | 97 |
section presents the | 97 |
the previous section | 97 |
initial cluster centers | 97 |
for the purpose | 97 |
impact of the | 97 |
the employer and | 97 |
at sciencedirect expert | 97 |
with the help | 97 |
employer and the | 97 |
solution to the | 97 |
to carry out | 97 |
the architecture of | 96 |
components of the | 96 |
intention that the | 96 |
of a particular | 96 |
a pair of | 96 |
for which the | 96 |
with each other | 96 |
a decision tree | 96 |
n h n | 96 |
based on fuzzy | 96 |
be used by | 96 |
are the most | 96 |
of the method | 96 |
as a consequence | 96 |
the advantage of | 96 |
if there are | 96 |
it possible to | 96 |
w l e | 96 |
the sense that | 96 |
one of these | 95 |
the data and | 95 |
to understand the | 95 |
to generate the | 95 |
in the paper | 95 |
d e r | 95 |
the prediction of | 95 |
period of time | 95 |
t i m | 95 |
combination of the | 95 |
design of the | 95 |
h e m | 95 |
a method for | 95 |
the input data | 95 |
court of australia | 95 |
the most relevant | 95 |
i s t | 95 |
d e n | 95 |
and the system | 95 |
at the university | 95 |
the user in | 95 |
cases in which | 95 |
in natural language | 95 |
are in the | 94 |
structural light framing | 94 |
algorithms by varying | 94 |
can be performed | 94 |
as it can | 94 |
in the real | 94 |
in that case | 94 |
be represented as | 94 |
number of times | 94 |
that is not | 94 |
the result is | 94 |
of the world | 94 |
on pattern analysis | 94 |
h e s | 94 |
values in the | 94 |
system in the | 94 |
the addition of | 94 |
s h o | 94 |
change in the | 94 |
to a given | 94 |
it is very | 94 |
of a single | 94 |
measure of the | 94 |
used to evaluate | 94 |
for the user | 94 |
wu et al | 94 |
the international conference | 94 |
architecture of the | 94 |
in the range | 94 |
aim is to | 94 |
in the present | 94 |
is to use | 93 |
the time series | 93 |
to which the | 93 |
new south wales | 93 |
to define the | 93 |
of data mining | 93 |
the first one | 93 |
to the worker | 93 |
found that the | 93 |
v a l | 93 |
o v e | 93 |
as opposed to | 93 |
has been proposed | 93 |
f f d | 93 |
as a function | 93 |
be divided into | 93 |
the details of | 93 |
of the above | 93 |
m e d | 93 |
for the development | 93 |
e t e | 93 |
a d e | 93 |
make use of | 93 |
params is empty | 93 |
knowledge and data | 93 |
wang et al | 93 |
leads to a | 93 |
effect of the | 93 |
a data set | 93 |
is required to | 93 |
d u c | 92 |
the relationships between | 92 |
owner of the | 92 |
definition of the | 92 |
the part of | 92 |
of the four | 92 |
tion of the | 92 |
is the total | 92 |
the content of | 92 |
of a specific | 92 |
a description of | 92 |
of the feature | 92 |
it is easy | 92 |
we present the | 92 |
e p r | 92 |
discovery and data | 92 |
are used as | 92 |
the user and | 92 |
part of a | 92 |
proposed expert system | 92 |
employer paid to | 92 |
and the second | 92 |
the money that | 92 |
e a n | 92 |
legal expert system | 92 |
the description of | 92 |
that the employer | 92 |
in this article | 92 |
stated to be | 92 |
money that the | 92 |
that it can | 92 |
a l l | 92 |
e c e | 91 |
there are a | 91 |
the other claimant | 91 |
chen et al | 91 |
in the table | 91 |
in the test | 91 |
used to represent | 91 |
used to determine | 91 |
we consider the | 91 |
an important role | 91 |
are likely to | 91 |
on the contrary | 91 |
the optimal solution | 91 |
the membership function | 91 |
an introduction to | 91 |
in the number | 91 |
to investigate the | 91 |
belonging to the | 91 |
can be achieved | 91 |
divided into two | 91 |
this method is | 90 |
than the other | 90 |
for digital economy | 90 |
at a time | 90 |
to this end | 90 |
we describe the | 90 |
s o f | 90 |
which has been | 90 |
large amount of | 90 |
this process is | 90 |
the interpretation of | 90 |
fuzzy inference system | 90 |
results from the | 90 |
we present a | 90 |
of our approach | 90 |
at the time | 90 |
is called a | 90 |
digital economy research | 90 |
value of a | 90 |
of the selected | 90 |
can be viewed | 90 |
center for digital | 90 |
p o n | 90 |
the introduction of | 89 |
this paper proposes | 89 |
and the user | 89 |
research stem school | 89 |
if the user | 89 |
knowledge base of | 89 |
of the features | 89 |
represented in the | 89 |
of the ontology | 89 |
to perform the | 89 |
m a i | 89 |
to control the | 89 |
economy research stem | 89 |
the th annual | 89 |
stem school of | 89 |
rough set theory | 89 |
to determine whether | 89 |
as illustrated in | 89 |
subset of the | 89 |
the goal is | 89 |
journal of machine | 89 |
an independent contractor | 89 |
on neural networks | 89 |
made by the | 89 |
that must be | 89 |
i n i | 89 |
r o b | 89 |
expert system with | 89 |
r e p | 89 |
the search for | 89 |
w i t | 89 |
for the diagnosis | 89 |
e m o | 89 |
of science and | 89 |
and data engineering | 88 |
carried out in | 88 |
is carried out | 88 |
it could be | 88 |
w h e | 88 |
the case study | 88 |
can lead to | 88 |
to the expert | 88 |
r r r | 88 |
of the application | 88 |
d m j | 88 |
u c t | 88 |
assessment of the | 88 |
is illustrated in | 88 |
in the expert | 88 |
summary of the | 88 |
in a way | 88 |
is also a | 88 |
is proposed to | 88 |
to use a | 88 |
by applying the | 88 |
to be considered | 88 |
is obtained by | 88 |
form of a | 88 |
the results show | 88 |
the behaviour of | 88 |
r u l | 88 |
then it is | 88 |
neural networks for | 88 |
are stored in | 87 |
presented to the | 87 |
in information retrieval | 87 |
been applied to | 87 |
a genetic algorithm | 87 |
the rules are | 87 |
are included in | 87 |
c f e | 87 |
that is to | 87 |
r a n | 87 |
the system has | 87 |
been proposed to | 87 |
study of the | 87 |
r t a | 87 |
weight of the | 87 |
the decision maker | 87 |
of the web | 87 |
e d i | 87 |
and the corresponding | 87 |
o f t | 87 |
the legal expert | 87 |
results in a | 87 |
this expert system | 87 |
distance between the | 86 |
different from the | 86 |
e c c | 86 |
is better than | 86 |
the true owner | 86 |
algorithm for the | 86 |
that they are | 86 |
d e c | 86 |
evaluate the performance | 86 |
could not be | 86 |
expert system development | 86 |
of th e | 86 |
journal of intelligent | 86 |
used in a | 86 |
in a single | 86 |
due to a | 86 |
machine learning techniques | 86 |
because they are | 86 |
information of the | 86 |
e b e | 86 |
expert system approach | 86 |
c b c | 86 |
consists of two | 86 |
indicate that the | 86 |
can be classified | 85 |
to build the | 85 |
be seen from | 85 |
group decision making | 85 |
that should be | 85 |
the united states | 85 |
cambridge university press | 85 |
in the ontology | 85 |
approaches have been | 85 |
of the patient | 85 |
be carried out | 85 |
it is shown | 85 |
we have used | 85 |
standard deviation of | 85 |
that are used | 85 |
corresponds to a | 85 |
appear in the | 85 |
results and discussion | 85 |
also be used | 85 |
the system in | 85 |
is responsible for | 85 |
given in the | 85 |
of the program | 85 |
in the decision | 85 |
when the user | 85 |
where n is | 85 |
in the set | 85 |
which is not | 85 |
r e d | 85 |
data mining techniques | 85 |
is a function | 85 |
was used for | 84 |
to study the | 84 |
the average of | 84 |
of business ivorking | 84 |
to note that | 84 |
a c o | 84 |
defined in the | 84 |
set of the | 84 |
cases in the | 84 |
transactions on pattern | 84 |
which means that | 84 |
illustrated in fig | 84 |
all of these | 84 |
to facilitate the | 84 |
of the algorithms | 84 |
ivorking paper is | 84 |
data from the | 84 |
the following sections | 84 |
listed in table | 84 |
a small number | 84 |
d e l | 84 |
business ivorking paper | 84 |
have also been | 84 |
is considered as | 83 |
extension of the | 83 |
o o d | 83 |
of the inference | 83 |
the decision tree | 83 |
classification of the | 83 |
p p r | 83 |
of the individual | 83 |
as a whole | 83 |
one of them | 83 |
institute of technology | 83 |
methods have been | 83 |
the original data | 83 |
stage of the | 83 |
in the third | 83 |
into the system | 83 |
to be performed | 83 |
an open access | 83 |
in the network | 83 |
of information technology | 83 |
s t i | 83 |
is said to | 83 |
c e e | 83 |
none of the | 83 |
is known as | 83 |
lead to a | 83 |
in all the | 83 |
instead of the | 83 |
to a set | 83 |
case of a | 83 |
has been applied | 82 |
showed that the | 82 |
this study is | 82 |
shown to be | 82 |
as mentioned in | 82 |
means of the | 82 |
used to identify | 82 |
such a system | 82 |
for the selection | 82 |
is very important | 82 |
in the temporal | 82 |
no no no | 82 |
which may be | 82 |
the first stage | 82 |
b a s | 82 |
of a knowledge | 82 |
of the environment | 82 |
the proposed expert | 82 |
with the system | 82 |
height in centimeters | 82 |
d i n | 82 |
employer did not | 82 |
o p e | 82 |
from the same | 82 |
the data in | 82 |
reported in the | 82 |
of the whole | 82 |
supply chain management | 82 |
the employer did | 82 |
e d a | 82 |
be added to | 82 |
and they are | 81 |
by comparing the | 81 |
were used for | 81 |
to the data | 81 |
and machine learning | 81 |
to illustrate the | 81 |
a s s | 81 |
can be a | 81 |
is likely to | 81 |
we found that | 81 |
number of attributes | 81 |
international symposium on | 81 |
refer to the | 81 |
using the same | 81 |
regardless of the | 81 |
of the english | 81 |
this work was | 81 |
known as the | 81 |
machine learning research | 81 |
lee et al | 81 |
on the one | 81 |
in the above | 81 |
paper is to | 81 |
in this experiment | 81 |
v e l | 81 |
judges of the | 81 |
of the previous | 81 |
the second stage | 81 |
a tool for | 81 |
calculation of the | 81 |
summarized in table | 81 |
an extension of | 81 |
the point of | 81 |
and of the | 80 |
of a system | 80 |
the significance of | 80 |
are the same | 80 |
the availability of | 80 |
on knowledge and | 80 |
produced by the | 80 |
to the set | 80 |
to construct the | 80 |
there has been | 80 |
can be identified | 80 |
domain in the | 80 |
to the current | 80 |
r t h | 80 |
members of the | 80 |
component of the | 80 |
and pattern recognition | 80 |
in the problem | 80 |
of a fuzzy | 80 |
we will use | 80 |
on the number | 80 |
manner in which | 80 |
i m a | 80 |
on knowledge discovery | 80 |
h h n | 80 |
used as an | 80 |
c a n | 80 |
information in the | 80 |
of such a | 79 |
f o keywords | 79 |
than or equal | 79 |
i n c | 79 |
presented in figure | 79 |
in the image | 79 |
the contents of | 79 |
in section we | 79 |
that the relationship | 79 |
the most appropriate | 79 |
we can use | 79 |
an analysis of | 79 |
of the corresponding | 79 |
purpose of this | 79 |
e e c | 79 |
is the first | 79 |
a b l | 79 |
said to be | 79 |
not have a | 79 |
and a set | 79 |
as a set | 79 |
centimeters is the | 79 |
take advantage of | 79 |
on the use | 79 |
through the use | 79 |
each of which | 79 |
and target domain | 78 |
of the set | 78 |
e a d | 78 |
different levels of | 78 |
to verify the | 78 |
we would like | 78 |
was able to | 78 |
s u m | 78 |
the one hand | 78 |
to form a | 78 |
a kind of | 78 |
to choose the | 78 |
to a specific | 78 |
for earthquake prediction | 78 |
a fuzzy set | 78 |
then used to | 78 |
is needed to | 78 |
f e c | 78 |
it is based | 78 |
d f e | 78 |
is added to | 78 |
which is used | 78 |
consistent with the | 78 |
it must be | 78 |
the fuzzy expert | 78 |
we focus on | 78 |
g r a | 77 |
out to be | 77 |
a computer program | 77 |
objective of this | 77 |
that all the | 77 |
information and knowledge | 77 |
the probability that | 77 |
number of possible | 77 |
to address the | 77 |
the first two | 77 |
s h i | 77 |
order to improve | 77 |
the manner in | 77 |
is higher than | 77 |
based on an | 77 |
the issue of | 77 |
order to make | 77 |
the inference process | 77 |
the class of | 77 |
the th acm | 77 |
according to a | 77 |
based approach to | 77 |
the most similar | 77 |
can be improved | 77 |
step in the | 77 |
takes into account | 77 |
to train the | 77 |
is expected to | 77 |
o f this | 77 |
the types of | 77 |
to detect the | 77 |
the risk of | 77 |
systems based on | 77 |
of the task | 77 |
on the data | 77 |
is an example | 76 |
the rules in | 76 |
the properties of | 76 |
the user has | 76 |
to develop an | 76 |
and does not | 76 |
the usage of | 76 |
this research is | 76 |
are associated with | 76 |
at this point | 76 |
conference on knowledge | 76 |
the estimation of | 76 |
of each of | 76 |
h i p | 76 |
process of the | 76 |
see that the | 76 |
a t h | 76 |
to enhance the | 76 |
to be made | 76 |
is represented as | 76 |
applications of artificial | 76 |
b b c | 76 |
number of data | 76 |
to be an | 76 |
the fitness function | 76 |
on computer vision | 76 |
of the study | 76 |
with the following | 76 |
may be used | 76 |
different kinds of | 76 |
m is the | 76 |
in real time | 76 |
with the other | 76 |
a basis for | 76 |
an attempt to | 76 |
the design and | 76 |
the remainder of | 76 |
as explained in | 76 |
and their applications | 76 |
is calculated as | 76 |
we have a | 76 |
the reason for | 75 |
the limitations of | 75 |
from the data | 75 |
it is an | 75 |
the likelihood of | 75 |
t o m | 75 |
is calculated by | 75 |
step of the | 75 |
yang et al | 75 |
t a i | 75 |
the maximum number | 75 |
based on these | 75 |
b o u | 75 |
e r i | 75 |
table presents the | 75 |
in the final | 75 |
and that the | 75 |
there may be | 75 |
the terms of | 75 |
in the world | 75 |
the employee specification | 75 |
distance from the | 75 |
operation of the | 75 |
o f rules | 75 |
training and testing | 75 |
which have been | 75 |
on expert systems | 75 |
as long as | 75 |
lower and upper | 75 |
nearest neighbour is | 75 |
the fuzzy set | 75 |
be represented by | 75 |
can be divided | 75 |
to learn the | 75 |
the proposed algorithms | 75 |
that may be | 75 |
validity of the | 75 |
an inference engine | 75 |
with a set | 75 |
t and t | 75 |
this information is | 75 |
way in which | 75 |
the standard deviation | 75 |
such as a | 75 |
expert system has | 75 |
only a few | 75 |
approach based on | 75 |
of using the | 75 |
proposed in the | 75 |
o r i | 75 |
the data sets | 74 |
this case the | 74 |
by varying user | 74 |
the mean of | 74 |
to find out | 74 |
validation of the | 74 |
e p t | 74 |
a m o | 74 |
used to calculate | 74 |
had to be | 74 |
which are not | 74 |
to reach a | 74 |
the course of | 74 |
the applicability of | 74 |
p and p | 74 |
varying user overlap | 74 |
on how to | 74 |
considered in the | 74 |
overlap level in | 74 |
of the nd | 74 |
important role in | 74 |
th e d | 74 |
to focus on | 74 |
is done by | 74 |
when there is | 74 |
divided by the | 74 |
that in the | 74 |
u t e | 74 |
of a user | 74 |
com science article | 74 |
computer vision and | 74 |
dependent on the | 74 |
behaviour of the | 74 |
the domain knowledge | 74 |
o s e | 74 |
and on the | 74 |
into a single | 74 |
the problem domain | 74 |
points in the | 74 |
more or less | 74 |
be taken into | 74 |
conclusions and future | 74 |
if they are | 74 |
c and c | 74 |
be obtained by | 74 |
order to achieve | 74 |
ability of the | 74 |
discussed in the | 74 |
communications of the | 74 |
the higher the | 74 |
high court of | 74 |
problem can be | 73 |
page page page | 73 |
be seen that | 73 |
the direction of | 73 |
has also been | 73 |
by the decision | 73 |
widely used in | 73 |
t u r | 73 |
in press as | 73 |
r o p | 73 |
beginning of the | 73 |
be possible to | 73 |
c e s | 73 |
number of nodes | 73 |
e m s | 73 |
as far as | 73 |
relevant to the | 73 |
probability of the | 73 |
is a good | 73 |
is to provide | 73 |
of the existing | 73 |
s y n | 73 |
to take into | 73 |
open access article | 73 |
the decision making | 73 |
stored in a | 73 |
to do so | 73 |
of the case | 73 |
and expert system | 73 |
evolution of the | 73 |
on the web | 73 |
in the evaluation | 73 |
the concepts of | 73 |
rest of this | 73 |
scheduled start date | 73 |
as discussed in | 73 |
consists of three | 73 |
those of the | 73 |
yes no no | 73 |
target start date | 73 |
for a specific | 73 |
does not require | 72 |
the nearest other | 72 |
each one of | 72 |
accused did not | 72 |
start date scheduled | 72 |
an integral part | 72 |
asset location description | 72 |
which are the | 72 |
shows an example | 72 |
the test data | 72 |
for the system | 72 |
cost of the | 72 |
by the number | 72 |
that the number | 72 |
with applications xxx | 72 |
b c d | 72 |
role in the | 72 |
the proposed framework | 72 |
scheduled end date | 72 |
viewed as a | 72 |
support system for | 72 |
rather than the | 72 |
the problems of | 72 |
this article in | 72 |
the rule is | 72 |
to overcome the | 72 |
d o m | 72 |
description actual end | 72 |
location description actual | 72 |
o b l | 72 |
to classify the | 72 |
c h a | 72 |
higher than the | 72 |
form of the | 72 |
machine learning and | 72 |
with the aim | 72 |
not possible to | 72 |
been used for | 72 |
like to thank | 72 |
s i n | 72 |
half of the | 72 |
date scheduled end | 72 |
be included in | 72 |
date target start | 72 |
i t y | 72 |
it is assumed | 72 |
a way to | 72 |
of legal reasoning | 72 |
the support of | 72 |
in the example | 72 |
in the s | 71 |
amount of information | 71 |
with the user | 71 |
t t e | 71 |
integral part of | 71 |
national conference on | 71 |
the accused did | 71 |
b u t | 71 |
will be the | 71 |
aim of this | 71 |
portion of the | 71 |
the change in | 71 |
c h o | 71 |
with the use | 71 |
more and more | 71 |
comparison between the | 71 |
in a similar | 71 |
and analysis of | 71 |
of which is | 71 |
used in our | 71 |
idea is to | 71 |
of them are | 71 |
was applied to | 71 |
journal of production | 71 |
a study of | 71 |
given to the | 71 |
the relationship would | 71 |
value for the | 71 |
to the first | 71 |
a system for | 71 |
are similar to | 71 |
set of features | 71 |
nodes in the | 71 |
r e l | 71 |
described in this | 71 |
to validate the | 71 |
relationship would be | 71 |
which will be | 71 |
m p t | 71 |
rules of the | 71 |
the speed of | 71 |
in more detail | 71 |
e s p | 71 |
the web page | 71 |
springer berlin heidelberg | 71 |
c e p | 70 |
and knowledge discovery | 70 |
data set is | 70 |
the learning process | 70 |
acm transactions on | 70 |
association rule mining | 70 |
n d a | 70 |
is a need | 70 |
type of the | 70 |
shown that the | 70 |
in the input | 70 |
e a r | 70 |
to the development | 70 |
can be written | 70 |
d i t | 70 |
pattern recognition letters | 70 |
to cope with | 70 |
c lu d | 70 |
the outcome of | 70 |
should be able | 70 |
an increase in | 70 |
as for the | 70 |
made up of | 70 |
to implement the | 70 |
of the key | 70 |
science and engineering | 70 |
of the st | 70 |
of the human | 70 |
lu d e | 70 |
that the expert | 70 |
s o m | 70 |
set of attributes | 70 |
decision did not | 70 |
so that it | 70 |
and information science | 70 |
and its application | 70 |
can only be | 70 |
the average number | 70 |
be described as | 70 |
t o t | 70 |
to consider the | 70 |
since it is | 70 |
to create the | 70 |
is that they | 69 |
the p r | 69 |
w it h | 69 |
used to generate | 69 |
of the chattel | 69 |
of the accused | 69 |
of information and | 69 |
conference of the | 69 |
and the average | 69 |
model and the | 69 |
seen as a | 69 |
in t h | 69 |
is considered to | 69 |
to the original | 69 |
positive or negative | 69 |
the feature extraction | 69 |
r r e | 69 |
at time t | 69 |
each pair of | 69 |
held that the | 69 |
would not be | 69 |
side of the | 69 |
order to evaluate | 69 |
in a specific | 69 |
t r o | 69 |
first of all | 69 |
an application of | 69 |
s e d | 69 |
with the expert | 69 |
wide variety of | 69 |
to perform a | 69 |
we define the | 69 |
back to the | 69 |
on the results | 69 |
t r u | 69 |
ensure that the | 69 |
followed by a | 69 |
with different user | 69 |
also known as | 69 |
all of them | 69 |
to examine the | 69 |
to one of | 69 |
and implementation of | 69 |
presented at the | 69 |
computer and information | 69 |
by the same | 69 |
building expert systems | 69 |
the temporal dimension | 69 |
process can be | 69 |
noted that the | 69 |
of our knowledge | 69 |
many times on | 68 |
can be computed | 68 |
e f c | 68 |
leads to the | 68 |
decision making in | 68 |
same as the | 68 |
and artificial intelligence | 68 |
in the text | 68 |
european conference on | 68 |
average of the | 68 |
algorithm based on | 68 |
t i v | 68 |
and then the | 68 |
on a set | 68 |
for the second | 68 |
of the third | 68 |
the input and | 68 |
has been implemented | 68 |
s o n | 68 |
may also be | 68 |
the assessment of | 68 |
the way in | 68 |
temporal and location | 68 |
the solution of | 68 |
for the three | 68 |
be expressed as | 68 |
employer paid the | 68 |
to reach the | 68 |
for the case | 68 |
relative to the | 68 |
r t s | 68 |
paid the worker | 68 |
techniques have been | 68 |
results of this | 68 |
in a rule | 68 |
in the presence | 68 |
times on page | 68 |
to check the | 68 |
name of the | 68 |
performance of a | 68 |
p a p | 68 |
e n e | 68 |
observed that the | 68 |
in a real | 68 |
some of them | 68 |
c e r | 68 |
which is based | 68 |
as one of | 68 |
order to avoid | 68 |
n a t | 68 |
are applied to | 68 |
of the concept | 68 |
of new south | 68 |
the feasibility of | 68 |
by elsevier ltd | 68 |
method for the | 68 |
a lack of | 68 |
of the rd | 68 |
cited many times | 68 |
knowledge base for | 67 |
applied to a | 67 |
it consists of | 67 |
was supported by | 67 |
weights of the | 67 |
d a n | 67 |
a r a | 67 |
of data points | 67 |
step is to | 67 |
date maintenance operator | 67 |
what are the | 67 |
to a descriptor | 67 |
system as a | 67 |
the similarity of | 67 |
a s u | 67 |
propose a new | 67 |
the decision did | 67 |
n e w | 67 |
c e f | 67 |
from the set | 67 |
of this approach | 67 |
of the tree | 67 |
e l a | 67 |
described as follows | 67 |
a decision support | 67 |
for the analysis | 67 |
u n i | 67 |
purpose of the | 67 |
each of them | 67 |
and information technology | 67 |
choice of the | 67 |
expert systems can | 67 |
has been a | 67 |
from a set | 67 |
t a b | 67 |
legal expert systems | 67 |
for the next | 67 |
the natural specification | 67 |
d e a | 67 |
the computation of | 67 |
the genetic algorithm | 67 |
was set to | 67 |
the top of | 67 |
divided into three | 67 |
the location of | 67 |
of the variables | 67 |
the most recent | 67 |
cnc turning centre | 67 |
amount of data | 67 |
the differences between | 67 |
li li li | 67 |
e d u | 67 |
top of the | 67 |
d c c | 67 |
in a more | 67 |
n s t | 67 |
u g h | 67 |
end date maintenance | 67 |
of the k | 67 |
transactions on information | 67 |
the decision affected | 67 |
transactions on knowledge | 66 |
and decision making | 66 |
the most frequent | 66 |
the c o | 66 |
values for each | 66 |
p t i | 66 |
three types of | 66 |
in the user | 66 |
division of the | 66 |
there was no | 66 |
m e m | 66 |
and neural networks | 66 |
from the training | 66 |
best of our | 66 |
of these two | 66 |
be difficult to | 66 |
c c b | 66 |
the information from | 66 |
using the following | 66 |
of the evaluation | 66 |
of the machine | 66 |
to develop the | 66 |
the infringer was | 66 |
as soon as | 66 |
there is not | 66 |
of information systems | 66 |
of the value | 66 |
tend to be | 66 |
most of these | 66 |
o n f | 66 |
proposed method is | 66 |
result in the | 66 |
concerned with the | 66 |
a l u | 66 |
for the expert | 66 |
to account for | 66 |
order of the | 66 |
limited number of | 66 |
b la ck | 66 |
e r m | 66 |
and support vector | 66 |
the feature selection | 66 |
sent to the | 65 |
e d m | 65 |
examples of the | 65 |
of the major | 65 |
in an expert | 65 |
was used as | 65 |
expert system shells | 65 |
the hidden layer | 65 |
that is used | 65 |
information provided by | 65 |
of the association | 65 |
of more than | 65 |
mentioned in section | 65 |
s a n | 65 |
criteria decision making | 65 |
number of training | 65 |
the power of | 65 |
d u j | 65 |
u l a | 65 |