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.
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