An approach for aggregation of experts´ qualitative evaluations by means of fuzzy sets

This paper discusses an approach for the processing of qualitative expert evaluations in the process of group decision-making under uncertainty. The approach is based on the use of triangular fuzzy numbers. It is assumed that the opinions of experts are expressed by linguistic variables like very bad, not very bad, problematic, good and so on. The technique of conversion of experts´ quantitative opinions to triangular fuzzy numbers is considered. A simple method of expressing experts´ opinions by triangular fuzzy numbers is introduced. A new approach to determining experts´ degrees of importance is proposed. The proposed methodology is discussed and its algorithm is described. An illustrative example is given.