id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_dc54mmloafb7te6x6fbwljgm2a	Michael J. Baldwin	Integrating expert systems using fuzzy numbers	1988	1	.pdf	application/pdf	536	70	75	In many complex decision situations the data available may not be sufficient to define a from the vagueness and the subjectivity in the assessment o f decision situations. o f quantification used to represent this imprecision are fuzzy set theory and operations. new interpretation o f the decision-making process in a fuzzy environment is motivated. Real-time processing constraints o f operational expert avionics systems are driving a algorithmic technique to integrate expert systems where the systems are allowed to use One approach to solving the integration problem is examined; each alternative is considered as a possible target, each j u d g e as one o f four expert The experts are allowed to use fuzzy numbers to quantify each target's suitability within Four on-board experts are allowed to use fuzzy numbers because there is method for providing real-time data analysis.	./cache/work_dc54mmloafb7te6x6fbwljgm2a.pdf	./txt/work_dc54mmloafb7te6x6fbwljgm2a.txt