Name
Abstract | ||
|---|---|---|
In this article, we propose a non-numeric method for pairwise group-decision analysis based on fuzzy preference relations. The proposed method expresses and processes the preference relations non-nwnerically. The computation processes are relatively simple and fast. We apply our method for selecting the most prospective new agro-industries to be implemented by a multi-corporate company. Moreover, in the application we develop a procedure consisting of 4 stages: 1 a brain-storming process for alternatives and criteria identifications, 2 a pre-selection of the prospective alternatives using a modification of fuzzy Delphi method, 3 a pre-selection of the significant criteria using a non-nwneric independent evaluation method, and 4 a final alternatives selection based on all significant criteria by using the non-numeric pairwise fuzzy group-decision analysis. The final results are compared with results obtained by a semi-numeric method. The proposed method is suitable for group-decision making cases in which a full consensus is the most important role in selecting the alternatives. |
Year | Venue | DocType |
|---|---|---|
1997 | Journal of Intelligent and Fuzzy Systems | Journal |
Volume | Issue | ISSN |
5 | 3 | 1064-1246 |
Citations | PageRank | References |
1 | 0.42 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marimin | 1 | 21 | 3.03 |
| Motohide Umano | 2 | 183 | 28.91 |
| Itsuo Hatono | 3 | 133 | 18.38 |
| Hiroyuki Tamura | 4 | 176 | 30.79 |