An Integrated Single-Valued Neutrosophic Combined Compromise Solution Methodology for Renewable Energy Resource Selection Problem

Optimal renewable energy source (RES) selection needs a strategic decision for reducing environmental pollutions, use of conventional resources, and improving economic development. In the process RESs evaluation, several aspects like environmental, economic, social, technical requirements play an important role. addition, diverse factors affect appropriate RES problem which adheres to uncertain imprecise data. Thus, this can be considered as complex multi-criteria making (MCDM) problem. This study aims introduce novel integrated methodology based on Step-wise Weight Assessment Ratio Analysis (SWARA) Combined Compromise Solution (CoCoSo) methods within single-valued neutrosophic sets (SVNSs) context, wherein decision-makers criteria weights are completely unknown. proposed approach, determined by SWARA method, most suitable alternative is improved CoCoSo method under SVN context. Further, illustrative case demonstrate thorough execution method. Moreover, comparison with existing discussed analyze validity obtained result. performs sensitivity analysis various set reveal robustness developed approach. The strength its practical applicability ability provide solutions uncertain, imperfect, indeterminate, inconsistent information.