Fuzzy harmonic mean-based method for solving intuitionistic fuzzy multi-objective linear fractional optimization problems and its application in organizational planning

Solving a Fermatean fuzzy multi-objective optimization problem with its application in diet problem

Bayesian Fuzzy Optimization With Gaussian Fuzzy Process

In many real-life problems, decision-making gets complicated due to dual sources of uncertainty, known as randomness and fuzziness or imprecision, which can be challenging for traditional optimization methods. Most existing fuzzy optimization techniques that optimize fuzzy-valued objective functions account for fuzzine...

Integrating interval method with a heuristic for solving nonlinear uncertain interval optimization problems

In this work, we introduce a novel interval optimization technique to solve the nonlinear engineering uncertain constrained optimization problems with uncertainty in coefficients of objective function and constraints. We apply the arithmetic relation of interval numbers based on the midpoint and width of the...

A New Method for SOLVING Fuzzy Linear Programming by Solving Linear Programming

Engineering design is typically plagued with inaccuracies due to the complexity of many real-world engineering systems. Fuzzy linear programming issues play an important part in fuzzy modelling, which is able to express uncertainty in the real world. Dubois and Prade's LR fuzzy number is one of the most practical theme...

A Hybrid Approach to Fuzzy Transportation Problems: Adaptive Defuzzification Combined with VAM and MODI Optimization

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...

On Solving the Fuzzy Assignment Problem with Restrictions using the Fuzzy DEMATEL approach

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.