ОПРЕДЕЛЕНИЕ НЕЧЕТКИХ УСЛОВИЙ И АНАЛИЗ СУЩЕСТВУЮЩИХ РЕШЕНИЙ В ЗАДАЧЕ ЭВАКУАЦИИ ПРИ ЧРЕЗВЫЧАЙНЫХ СИТУАЦИЯХ

Abstract

Quantification in collective behavior and decision-making in fuzzy conditions is crucial toensure the health and safety of the population. The task of modeling and predicting behavior infuzzy conditions, as is known, has increased complexity due to a large number of factors fromwhich an NP-complete multi-criteria problem is formed. There is a difficulty in quantifying the impact of fuzzy factors using a mathematical model. In this regard, the paper proposes a stochasticmodel of human decision-making to describe the empirical behavior of subjects in an experimentsimulating an emergency scenario. The developed fuzzy model combines fuzzy logic into aconventional model of social behavior. Unlike existing models and applications, this approachuses fuzzy sets and membership functions to describe the evacuation process in an emergencysituation. The purpose of this work is to define fuzzy rules and analyze existing solutions. The scientificnovelty lies in the formation of a set of factors that form fuzzy rules for making dynamicdecisions. The problem statement in this paper is as follows: to form a set of factors affecting thebehavior of pedestrians, which are modeled as fuzzy input data. The practical value of the worklies in the creation of a new set of fuzzy rules that allows them to be used in the evacuation algorithmfor the effective solution of the task. The fundamental difference from the known approachesis in the application of a new set of fuzzy rules, which contains factors: perception, intention, attitude.To implement the proposed model, the process of social behavior during evacuation, independentvariables are determined. These variables include measurements related to social factors,in other words, the behavior of individual subjects and individual small groups, which are fundamentalat an early stage of evacuation.