New Approach for Solving Fully Interval-Value Fuzzy Transportation Problems

Küçük Resim Yok

Tarih

2023

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Springer Science and Business Media Deutschland GmbH

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

The transportation problem (TP) is one of the most broadly studied fields in the literature of linear programming problems used to a wide variety of practical applications. Conventional TPs generally assume that the values of transportation costs and the values of demand and supply are defined by real variables, though these values are unpredictable in TPs due to some uncontrollable factors. The present study formulates a TP when all parameters are interval-valued triangular fuzzy numbers and uses a novel optimization structure to find its optimal solution. The novelty of such an approach resides in requiring less computational effort compared to existing ones. The applicability of the proposed approach is illustrated through a numerical example. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Açıklama

Anahtar Kelimeler

Computational Complexity, Interval-Valued Fuzzy Numbers, Transportation Problem

Kaynak

Studies in Fuzziness and Soft Computing

WoS Q Değeri

Scopus Q Değeri

N/A

Cilt

423

Sayı

Künye