Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
470134 | Computers & Mathematics with Applications | 2007 | 11 Pages |
Abstract
In this paper, we generalize TOPSIS to fuzzy multiple-criteria group decision-making (FMCGDM) in a fuzzy environment. TOPSIS is one of the well-known methods for multiple-criteria decision-making (MCDM). Most of the steps of TOPSIS can be easily generalized to a fuzzy environment, except max and min operations in finding the ideal solution and negative ideal solution. Thus we propose two operators Up and Lo which satisfy the partial ordering relation on fuzzy numbers to the generalization of TOPSIS. In generalized TOPSIS, these two operations (Up and Lo) are employed to find ideal and negative ideal solutions under a fuzzy environment. Then the FMCGDM problem can be solved effectively and efficiently.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Yu-Jie Wang, Hsuan-Shih Lee,