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
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;
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
DOI :
10.1109/IEEM.2007.4419164