DocumentCode :
3195794
Title :
Study on the Application of Fuzzy TOPSIS to the Multi-objective Decision Making
Author :
Huang Jian-wen ; Chen Rui ; Wang Xing-xia ; Zhou Yi-hong
Author_Institution :
Coll. of Hydraulic & Environ. Eng., China Three Gorges Univ., Yichang, China
Volume :
3
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
560
Lastpage :
563
Abstract :
Decision-making problem is the process of finding the best option from all of the feasible alternatives. To some extent, decision-makers usually are more confident making linguistic judgments than crisp value judgments. The aim of this paper is to extend the TOPSIS method to decision-making problems with fuzzy data. In this paper the fuzzy theory is introduced into the multi-objective decision making(MODM) problem under uncertainty and the fuzzy TOPSIS approach is proposed to solve the MODM problem with subjective linguistic variables. First the triangular fuzzy numbers are used to describe the degree of importance and the attribute value. Then it gives the general steps of solving the MODM problem through the fuzzy TOPSIS approach. Finally, a case study is used to illustrate the procedure of the proposed approach at the end of the paper. With this approach, we provide decision-makers more information to make more powerful decision.
Keywords :
computational linguistics; decision making; fuzzy set theory; MODM; feasible alternatives; fuzzy TOPSIS application; fuzzy data; fuzzy theory; linguistic judgments; multiobjective decision making; triangular fuzzy numbers; Automation; Costs; Decision making; Educational institutions; Partial response channels; Uncertainty; TOPSIS; construction scheme optimization; fuzzy theory; multi-objective decision making;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.226
Filename :
5522884
Link To Document :
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