Application of Fuzzy TOPSIS Method in Group Decision-Making for Ranking Political Parties

This paper examines existing multi-criteria decision-making methods, in particular, for solving the problem of ranking (evaluating) political parties. The use of expert evaluations plays an important role at the present stage of decision-making theory development, which is connected with the increasing frequency of their use in the practice of modern political decisions. It is revealed that some methods have certain limitations, in particular, processing only accurate data (expert assessments), impossibility to take into account fuzzy (interval) assessments, lack of group expert evaluation, complexity of forming expert judgments, necessity to take into account the consistency of judgments. The authors propose the use of the fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Situation) method that is devoid of appropriate limitations and is effective for use in solving the problem of ranking political parties. In this method, the alternative closest to the Fuzzy Positive Ideal Solution (FPIS) and farthest from the Fuzzy Negative Ideal Solution (FNIS) is considered optimal. Herewith the FPIS consists of the best values of each alternative, while the FNIS consists of the worst values.