A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings for Companies’ Attractiveness

Abstract

Real-life environments are inadequate to be modelled by crisp values, since hu-man reasoning is often uncertain and ambiguous. Therefore, the aggregation of fuzzy concept of decision makers is represented sufficiently with fuzzy (impre-cise) data. The purpose of this paper is the development of a powerful and useful method based on fuzzy TOPSIS which is able to aggregate judgements of 8.921 decision makers in a real fuzzy environment. The main goal of the proposed mod-ified fuzzy TOPSIS method is the efficiently ordering of a big volume of partial ranking lists related with 17 factors which are associated with the job satisfaction in fifteen different sectors. The results are very promising to continue our re-search to this direction and make further investigations.