TL;DR
A hybrid approach combining Fermatean fuzzy theory, component-wise optimization, and TOPSIS is introduced for solving multi-objective linear programming problems in a Fermatean fuzzy environment for enhanced robustness and interpretability of solutions under uncertain and hesitant information.
The fuzzy multi-objective optimization has become an important area of study in intelligent decision systems and is utilized in formulating complex problems that are characterized by uncertainty, imprecision and conflicting objectives. It has wide used in the design of engineering and in managing resources and in data-...
Background The conventional Assignment Problem (AP) may no longer be sufficient to handle real-world problems as they get more multifaceted and incorporate numerous, frequently conflicting objectives. In response, the Bi-Objective Assignment Problem (BOAP) provides an extended optimization framework that enables the si...
Complex systems the making of a decision is usually filled with a variety of conflicting goals, uncertainty, and inaccurate knowledge especially in fields like optimization of engineering, resource allocation, and management science. Conventional utilization of optimization models are ineffective in the representation...
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...
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...
Multi-objective evolutionary (MOE) algorithms have encountered difficulties when calculating big data improvement issues. Initial conditions are multiple pre-existing conditions that contribute to a particular situation. We propose a novel procedure for computing the single goal gravity issue using multi-objective gra...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
