This article focused on transportation sustainability during the COVID-19 pandemic situation under the Fermatean fuzzy environment. In both developed and developing nations, sustainability has risen to the top of the priority list for transportation policies and planning. We introduce a simplified presentation of the Fermatean fuzzy travelling seller problem solved by using a new computation approach. Several approaches for solving the travelling seller problem using fuzzy parameters have been described in the literature. Even so, all the current strategies use general fuzzy numbers as the parameters for the travelling salesman problems. But this, his study focusing focused on the new Fermatean fuzzy number, which is more effective for representing real-life incidents. The Fermatean fuzzy scoring functions and numerical conditions in distinct models in the Fermatean fuzzy environment were described to construct the algorithm. A new solution methodology was developed through scoring functions to find the best solution to fulfil our goal of sustainable transportation for travelling sellers' problems. Sustainable cost and the optimal path are obtained by this study.
Assessing the Sustainability of the Prepandemic Impact on Fuzzy Traveling Sellers Problem with a New Fermatean Fuzzy Scoring Function
2022-01-01
Sustainability: Sustainable Competitiveness of Strategic Management, Economic and Social Areas: Developed and Developing Countries, Basel : MDPI, 2022, Vol. 14, Iss. 24, 16560, p. 1-17 ; eISSN 2071-1050
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |
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