A new method to determine the Fermatean fuzzy optimal solution of transportation problems

Autor:	Muhammad Akram, Syed Muhammad Umer Shah, Tofigh Allahviranloo
Rok vydání:	2023
Předmět:	Statistics and Probability Artificial Intelligence General Engineering
Zdroj:	Journal of Intelligent & Fuzzy Systems. 44:309-328
ISSN:	1875-8967 1064-1246
DOI:	10.3233/jifs-221959
Popis:	Transportation Problems (TP) have multiple applications in supply chain management to reduce costs. Efficient methods have been developed to address TP when all factors, including supply, demand, and unit transportation costs, are precisely known. However, due to uncertainty in practical applications, it is necessary to study TP in an uncertain environment. In this paper, we define the Trapezoidal Fermatean Fuzzy Number (TrFFN) and its arithmetic operations. Then we introduce a new approach to solve TP, where transportation cost, supply, and demand are treated as TrFFN, and we call it Fermatean Fuzzy TP (FFTP). We illustrate the feasibility and superiority of this method with two application examples, and compare the performance of this method with existing methods. Furthermore, the advantages of the proposed method over existing methods are described to address TP in uncertain environments.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::52c5e673f96d5a09fd382ed197920c98 https://doi.org/10.3233/jifs-221959 Zobrazit plný text záznamu Plný text ve formátu PDF