Equivalence class in the set of fuzzy numbers and its application in decision-making problems.
Multi-objective Optimization Problem with Bounded Parameters
In this paper, we propose a nonlinear multi-objective optimization problem whose parameters in the objective functions and constraints vary in between some lower and upper bounds. Existence of the efficient solution of this model is studied and gradient based as well as gradient free optimality conditions are derived. The theoretical developments are illustrated through numerical examples.
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