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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
PubMed
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.

Keywords:
CoCoSoInformation fusionMCGDMMERECSpherical fuzzy set

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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.