Optimising Wave Energy Plant Location Through Neutrosophic Multi-Criteria Group Decision-Making

Abstract

The global shift towards sustainable energy has intensified research into renewable sources, particularly wave energy. Pakistan, with its long coastline, holds significant potential for wave energy development. However, identifying optimal locations for wave energy plants involves evaluating complex, multi-faceted criteria. This study employs a multi-criteria group decision- making (MCGDM) approach using single-valued neutrosophic numbers (SVNNs) to address both qualitative and quantita-tive uncertainties inherent in real-world scenarios. To enhance decision quality, we introduce two novel operators: the single- valued neutrosophic prioritised averaging (SVNPA_d) operator and the single-valued neutrosophic prioritised geometric (SVNPG_d) operator, both incorporating priority degrees. These tools allow decision-makers to express preferences better and handle ambiguous data. The proposed model is validated through comparative analysis with prior studies and demonstrates improved robustness in site selection. Furthermore, we analyse how variations in priority degrees infiuence decision outcomes, enabling a more dynamic and tailored decision-making process. Our method contributes a more holistic and adaptive framework for selecting locations for wave energy projects, ultimately supporting informed investments in renewable energy infrastructure and improving energy access in underserved coastal regions.

Keywords

aggregation operators / decision making / fuzzy set / priority degrees / sustainable energy

Funding

This study was supported by Science foundation Ireland (22/NCF/DR/11309).

Conflicts of Interest

The authors declare no confiicts of interest.

Data Availability Statement

The used data are confidential.

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