METHODS OF FUZZY MULTICRITERIA GROUP DECISION-MAKING FOR EVACUATION TASKS IN EMERGENCY SITUATIONS

Abstract

The purpose of this article is to analyze the current state of research in the field of fuzzy multicriteria optimization methods, as well as the development of aggregation operators and algorithms using fuzzy multicriteria group decision-making using an intuitionistic attitude of linguistic preferences. The most well-known fuzzy methods of multicriteria optimization are presented: ELECTRE, PROMETHEE, VIKOR, TOPSIS, AHP, ANP, MACBETH, DEMATEL, Shoke integral and DEA, their features, applications and the most cited articles are considered. Most real optimization problems may have conflicting goals. The method of fuzzy multi-purpose decision-making FMODM is also presented for situations where there are inaccuracies and uncertainty in some goals and variables on which they depend; methods of fuzzy multi-purpose linear programming FMOLP, fuzzy multi-objective target programming FMOGP and fuzzy heuristic decision-making methods. The problem of fuzzy multicriteria group decision-making during evacuation with an intuitive relation of linguistic preferences is considered. It is noted that fuzzy logic methods are particularly suitable for making evacuation decisions when there is little data, knowledge of cause-and-effect relationships is inaccurate, and observations and criteria can be expressed in linguistic qualitative terms. The main stages of group making the best decision among alternatives in a fuzzy environment are presented: combining expert assessments; obtaining a final assessment for each alternative represented by a linguistic variable; ranking alternatives; group making the most preferred decision. An approach to group decision-making with an intuitive preference relationship based on aggregation procedures is proposed. The group model of decision-making and the concept of fuzzy group decision and linguistic variables used in predicting an emergency situation and planning evacuation are considered. It is noted that the well-known operators of ordered weighted averaging OWA, LOWA do not take into account the weights of experts. The Low operator is defined, which allows taking into account the weight values of experts, as well as an approach to determining a fuzzy group solution of aFCS as a type 2 set. Algorithms for determining a fuzzy group multicriteria solution based on aFCS are presented