On the Parameterized OWA Operators for Fuzzy MCDM Based on Vague Set Theory |
| |
Authors: | Jue Wang San-Yang Liu Jie Zhang Shou-Yang Wang |
| |
Affiliation: | (1) School of Science, Xidian University, Xi’an, Shaanxi, 710071, P. R. China;(2) Institute of Systems Science, Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Beijing, 100080, P. R. China |
| |
Abstract: | The family of Ordered Weighted Averaging (OWA) operators, as introduced by Yager, appears to be very useful in multi-criteria decision-making (MCDM). In this paper, we extend a family of parameterized OWA operators to fuzzy MCDM based on vague set theory, where the characteristics of the alternatives are presented by vague sets. These families are specified by a few parameters to aggregate vague values instead of the intersection and union operators proposed by Chen. The proposed method provides a “soft” and expansive way to help the decision maker to make his decisions. Examples are shown to illustrate the procedure of the proposed method at the end of this paper. |
| |
Keywords: | fuzzy set fuzzy MCDM OWA operator S-OWA operator vague set |
本文献已被 SpringerLink 等数据库收录! |
|