id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_z6y3bu72m5fildugbuffwt7kea	Alberto Alfonso Aguilar Lasserre	Expert System for Competences Evaluation 360° Feedback Using Fuzzy Logic	2014	19	.pdf	application/pdf	9678	2069	68	paper proposes an expert performance evaluation system based on a fuzzy logic model, with competences 360∘ feedback oriented This model uses linguistic labels and adjustable numerical values to represent ambiguous concepts, such as where final results and conclusions show the fuzzy logic method advantages in comparison with traditional 360∘ performance The operation union results as the biggest degree of membership of each element in the fuzzy sets, that is, the highest feedback, and competence evaluation methodology; fuzzy logic concepts such as fuzzy sets and linguistic variables. Membership fuzzy functions can take different figures The fuzzy sets allow to describe the degree of membership Fuzzy Logic Personnel Evaluation Model. Figure 9: Fuzzy sets for linguistic variable "Scale." According to the expert, five fuzzy sets define the variable Figure 10: Fuzzy sets for linguistic variable "Frequency." Figure 11: Fuzzy sets for linguistic variable "Required Level." Activated variable Fuzzy set Membership degree Fuzzy logic competences evaluation expert system	./cache/work_z6y3bu72m5fildugbuffwt7kea.pdf	./txt/work_z6y3bu72m5fildugbuffwt7kea.txt