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

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.

ISBN:9783319540481; 9783319540474

Jaar van publicatie:2017

Trefwoorden:fuzzy TOPSIS, aggregation of partial rankings, Borda-Kendall OWA, best non fuzzy performance

BOF-keylabel:ja

IOF-keylabel:ja

Toegankelijkheid:Closed