Affiliation:
1. Department of Computer-Aided Design Systems, Institute of Computer Technologies and Information Security, Southern Federal University, Taganrog, Russia
Abstract
Nowadays, various emergencies that are human-made or natural occur widely and threaten people’ lives and health. One of the most important evacuation tasks is the minimum cost lexicographic flow modelling task, which allows aggrieved to be transported to safe areas along the optimal transportation routes, taking into account the priority of shelters. It is inevitable that when modelling an evacuation scenario, an expert will encounter difficulties in setting network parameters due to the inherent uncertainty of a network, the rapid change in the nature of the movement, etc. Intuitionistic fuzzy sets allow simulating doubts and uncertainty of a decision-maker when choosing a membership function. Due to the increasing complexity of the decision-making problems, experts cannot assess all the network parameters correctly because much specific knowledge is required, and each expert cannot be familiar with all attributes equally. Therefore, different decision-makers should have different values for various attributes. The algorithm proposed incorporates the search for the order of reliable shelters according to the modified TOPSIS method and the minimum cost paths in intuitionistic fuzzy conditions based on the non-standard subtraction operation. A case study is conducted to verify the proposed algorithm.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference28 articles.
1. Intuitionistic fuzzy sets;Atanassov;Fuzzy Sets and Systems,1986
2. Bozhenyuk A. , Gerasimenko E. , Kacprzyk J. and Rozenberg I. , Flows in networks under fuzzy conditions, Studies in Fuzziness and Soft Computing 346, Heidelberg, Springer-Verlag, 2017.
3. Earliest arrival dynamic flow model for emergency evacuation in fuzzy conditions;Gerasimenko;IOP Conference Series: Materials Science and Engineering,2020
4. The maximum lexicographic contraflow finding in a fuzzy dynamic network;Gerasimenko;Advances in Intelligent Systems and Computing,2021
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献