Multi-Criteria Group Decision-Making: A Fuzzy Algorithm for Emergency Evacuation Tasks

The purpose of this article is to analyze what it is going on nowadays in fuzzy methods of multi-objective optimization, as well as the development of aggregation operators and algorithms that use fuzzy multi-criteria group decision making using the intuitionistic relation of linguistic preferences. Most real optimization problems can have conflicting goals. 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 both could be presented in linguistic terms. The main stages of group adoption of the best decision among alternatives in a fuzzy environment are presented. A group decision-making model and linguistic variables used in emergency forecasting and evacuation planning are considered. It is noted that the well-known operators of ordered weighted averaging do not consider the weights of experts. An operator is defined that allows considering the weight values of experts, as well as an approach to determining a fuzzy group decision as a set of type 2. Algorithms for determining a fuzzy group multicriteria decision are presented.