DocumentCode
2607091
Title
A fuzzy TOPSIS Approach with entropy measure for decision-making problem
Author
Wang, Tien-Chin ; Lee, Hsien-Da ; Chang, Michael Chao-Sheng
Author_Institution
I-Shou Univ., Kaohsiung
fYear
2007
fDate
2-4 Dec. 2007
Firstpage
124
Lastpage
128
Abstract
Multiple criteria decision-making (MCDM) is widely used in ranking one or more alternatives from a set of available alternatives with respect to multiple criteria. Inspired by MCDM which are methods to systematically evaluate alternatives, we propose a new fuzzy TOPSIS approach for evaluating alternatives using both subjective and objective weights. Objective weight can be helpful in identifying more important attributes. With our method, we provide decision makers more information to make more subtle decisions.
Keywords
decision making; entropy; fuzzy set theory; order processing; MCDM; Technique for Order Performance by Similarity to Ideal Solutions; entropy measure; fuzzy TOPSIS approach; multiple criteria decision-making problem; Chaos; Costs; Decision making; Delta modulation; Entropy; Fuzzy set theory; Fuzzy sets; Humans; Uncertainty; Weight measurement; Entropy; MCDM; Objective Weight; Subjective Weight; TOPSIS;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1529-8
Electronic_ISBN
978-1-4244-1529-8
Type
conf
DOI
10.1109/IEEM.2007.4419164
Filename
4419164
Link To Document