TL;DR
This method deals with the zero-cost penalty in the reduced interval-valued Fermatean fuzzy transportation problem, obtained by applying row and column reduction to the original interval-valued Fermatean fractional fuzzy transportation problem.
The transportation problem is significant in real-life scenarios as it can be utilized in diverse practical applications across various industries and sectors. This problem becomes a fractional transportation problem when the ratio of objective functions is maximized or minimized simultaneously. Real-life problems are...
This study demonstrates a novel fuzzy multi-objective solid transportation problem (FMOSTP) which optimally manages logistics chain under uncertainty by simultaneously addressing multiple conflicting criteria cost, transit time, and security represented as fuzzy numbers. The proposed framework uses trapezoidal fuzzy nu...
Transportation planning under uncertain conditions is one of the most challenging issues that fall within the scope of operations research. The paper proposes a hybrid solution approach to a set of fuzzy transportation problems (FTPs) that are modelled using Triangular Fuzzy Numbers (TFN) for Transportation costs, supp...
Decision making in the apparel industry often involves trade-offs between multiple conflicting objectives under uncertain environments. While linear programming (LP) is widely used for profit maximization and cost minimization, it cannot effectively handle imprecision in objective and constraints. Fuzzy Multi Objective...
The results indicate that the integration of fuzzy DEMATEL with fuzzy assignment with restrictions modeling yields a systematic and dependable decision-support framework for addressing intricate assignment challenges in uncertain environments.
The term fuzzy set was coined by Zadeh. Various extensions of fuzzy sets were introduced afterwards allowing diverse applicability. Fermatean fuzzy sets (FFS) serves as an extension of intuitionistic and Pythagorean fuzzy sets. These sets provide a higher expressive capacity to express uncertainty by allowing the sum o...
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