A fuzzy TOPSIS approach with subjective weights and objective weights

Authors:
Tien-Chin Wang;Hsien-Da Lee;Chuan-Cheng Wu
Affiliations:
Department of Information Management, I-Shou University, Taiwan;Department of Information Management, I-Shou University, Taiwan and Department of Information Management, Fortune Institute of Technology, Kaohsiung, Taiwan;Department of Industrial Engineering and Management, I-Shou University, Taiwan
Venue:
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
Year:
2007

Citing 5
Cited 0

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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 for evaluating outsourcing software companies both using subjective and objective weights. While crisp data are inadequate to model the real life situations in MCDM, decision makers (DM) use linguistic variables to describe the important degrees of specific attributes. We also present the same TOPSIS method by using an entropy-based weighting approach. With our method, we provide decision makers more information to make more subtle decisions.