| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 402856 | Knowledge-Based Systems | 2013 | 5 Pages |
Abstract
The recently developed fuzzy TODIM (an acronym in Portuguese for iterative multi-criteria decision making) method using fuzzy numbers has been applied to uncertain MCDM problems with promising results. In this paper, a more general approach to the fuzzy TODIM, which takes into account the membership and the non-membership of the fuzzy information is considered. So, the fuzzy TODIM method has been extended to handle intuitionistic fuzzy information. This way, it is possible to tackle more challenging MCDM problems. Two case studies are used to illustrate and show the suitability of the developed method.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Renato A. Krohling, André G.C. Pacheco, André L.T. Siviero,