A Single-valued Pentagonal Neutrosophic Geometric Programming Approach to Optimize Decision Maker’s Satisfaction Level

Achieving the desired level of satisfaction for a decision-maker in any decision-making scenario is considered challenging endeavor because minor modifications process might lead to incorrect findings and inaccurate decisions. In order maximize decision-maker’s satisfaction, this paper proposes Single-valued Neutrosophic Geometric Programming model based on pentagonal fuzzy numbers. The typically assumed be certain parameters, but reality, not case, hence parameters are presented as neutrosophic values. decision-maker, with strategy, able achieve varying levels dissatisfaction each constraint even complete constraints. Here decision maker aims maximum while maintaining hesitation minimizing retain an optimum solution. Furthermore, transforming objective function into adds one more layer N-dimensional multi-parametrizes α ,β γ. advantages multi-parametrized proposed method over existing ones proven using numerical examples.