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An efficient spherical fuzzy MEREC-CoCoSo approach based on novel score function and aggregation operators for group
Guorou Wan1, Yuan Rong2, Harish Garg3,4,5,6
1Department of Basic Education, Sichuan College of Architectural Technology, Deyang, 618000 China.
Granular Computing
|April 16, 2024
Summary
This study introduces a new decision-making method using spherical fuzzy sets and the CoCoSo technique to find the best solar power station locations. The method enhances criteria weighting and ranking for optimal site selection.
Area of Science:
- Renewable Energy Systems
- Decision Sciences
- Fuzzy Set Theory
Background:
- Selecting optimal solar power station locations is complex, involving multiple criteria and uncertainty.
- Existing multi-criteria group decision-making (MCGDM) methods may not fully address the nuances of fuzzy information.
Purpose of the Study:
- To develop an integrated MCGDM methodology for optimal solar power station site selection.
- To introduce novel spherical fuzzy set operations and a score function for improved comparisons.
- To propose a spherical fuzzy MEREC technique for criteria weighting and an enhanced CoCoSo method for ranking.
Main Methods:
- Development of a novel spherical fuzzy score function for spherical fuzzy numbers (SFNs).
- Definition of new operational laws and aggregation operations for SFNs.
- Application of the spherical fuzzy MEREC technique to determine criteria importance.
- Implementation of an improved spherical fuzzy CoCoSo approach for ranking solar power station locations.
Main Results:
- The proposed spherical fuzzy MEREC-CoCoSo (SF-MEREC-CoCoSo) method provides a robust framework for solar power station site selection.
- The novel spherical fuzzy score function and aggregation operators enhance decision-making accuracy.
- Comparative and sensitivity analyses demonstrate the method's feasibility, practicability, and stability.
Conclusions:
- The developed SF-MEREC-CoCoSo methodology effectively addresses the complexities of optimal solar power station site selection.
- The integration of spherical fuzzy sets with CoCoSo and MEREC offers a significant advancement in MCGDM for renewable energy planning.
- The study validates the robustness and stability of the proposed decision-making approach.
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