Assessment of Sustainable Energy Resources with Hesitant Fuzzy Linguistic AHP-MULTIMOORA Methods

Building a sustainable development path in energy, supporting the transition to a low-carbon energy system, and promoting clean energy are among the critical components for sustainable energy and energy efficiency. Sustainable energy has particular importance in diversifying resources, meeting energy demand with greener options, and making better use of domestic resources to achieve flexible energy systems. This study aims to assess sustainable energy resources with Hesitant Fuzzy Linguistic (HFL) Multi-Criteria Decision Making (MCDM) methods. The Hesitant Fuzzy Linguistic Term Sets (HFLTS) approach is used to convey Decision Makers' (DMs') evaluations by addressing the effort of expressing concepts through crisp numbers and ambiguity. The weights of the assessment criteria are computed with the HFL Analytic Hierarchy Process (AHP) method, whereas the sustainable energy resources are evaluated with the updated form of HFL Multi-Objective Optimization on the basis of Ratio Analysis (MULTIMOORA) method. A case study for this evaluation problem is provided to illustrate the power of the proposed methodology. Finally, the application results are given, and future remarks are presented.