Title :
Study on fuzzy multi-attribute decision-making based on entropy weight
Author_Institution :
Safety & Environ. Sch., Capital Univ. of Econ. & Bus., Beijing, China
Abstract :
With regard to the fuzzy multi-attribute decision making (FMADM) problems, in which the information about attribute weight s are unknown completely and the attribute values are in the form triangular fuzzy numbers, a method based on entropy weight of the fuzzy information is proposed. The entropy w eight is given through fuzzy interval arithmetic based on level sets and optimistic index , then analyses and evaluates to fuzzy system according to entropy weight. The example shows that this method based on entropy weigh t is scientific and reasonable.
Keywords :
decision making; entropy; fuzzy set theory; fuzzy systems; FMADM problem; attribute value; attribute weight; entropy weight; fuzzy information; fuzzy interval arithmetic; fuzzy multiattribute decision making; fuzzy system; level set; optimistic index; triangular fuzzy number; Appraisal; Decision making; Entropy; Fuzzy sets; Indexes; Manganese; Reliability; Approximation Degree; Entropy Weight; Fuzzy Multi-Attribute Decision-Making; Operations Research;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
