Bivariate Neutrosophic Fuzzy Solid Transportation Problem

Many real-world situations have an element of uncertainty, which is often addressed using fuzzy techniques. This study describes various transportation issues like transportation cost, transportation time, and conveyance capacity. The bivariate neutrosophic fuzzy solid
transportation problem is an extension of the neutrosophic solid transportation problem. The bivariate neutrosophic solid fuzzy solid transportation problem consists of three constraints and two objective functions. Two objective functions Cost and time are combined by a single term (order pair), “bivariate neutrosophic fuzzy number,” and conveyance capacity, supply and demand are crisp numbers. A bivariate neutrosophic fuzzy number consists of two parts (cost, time) and neutrosophic membership. Optimum allocation is made using the average of neutrosophic confidence, and optimum cost is calculated using the weighted cost-time score function, and it is solved using the row column reduction method, and it is compared with the standard
method.