Prioritization Thermochemical Materials based on Neutrosophic sets Hybrid MULTIMOORA Ranker Method

Abstract

Present era, several technologies are combining in various industries to strengthen sustainable ecological, economic, and societal. For example, in storage energy industrial where a sophisticated technique for storing thermal energy called thermal energy storage (TES) can lessen the effects on the environment and enable cleaner and more effective energy systems. Particularly, thermochemical energy storage (TES) which is characterized by substantial density of energy. So, selecting suitable material among the set of materials is crucial process. This study emphasized employing durable techniques to elucidate complex interrelationships between criteria and several materials. Thus, this study employs Multi-criteria Decision Making (MCDM) methods. Also, we are supporting these methods with robust theory represents in neutrosohic theory to fortify MCDM methods in uncertainty and non-aligned situations. Moreover, we are utilizing Multi-objective Optimization by Ratio Analysis plus Full Multiplicative Form (MULTIMOORA) assists with Single Value Neutrosophic sets (SVNs). Finally, we applied our constructed framework to a real case study to guarantee that our framework is accurate and valid.