一种基于新型得分函数和聚合算子的高效球形模糊MEREC-CoCoSo群决策方法。
An efficient spherical fuzzy MEREC-CoCoSo approach based on novel score function and aggregation operators for group decision making.
作者信息
Wan Guorou, Rong Yuan, Garg Harish
机构信息
Department of Basic Education, Sichuan College of Architectural Technology, Deyang, 618000 China.
School of Management, Shanghai University, Shanghai, 200444 China.
出版信息
Granul Comput. 2023 May 15:1-23. doi: 10.1007/s41066-023-00381-2.
The major objective of the current investigation is to build an integrated multiple criteria group decision-making (MCGDM) methodology based on combined compromise solution (CoCoSo) and spherical fuzzy set for determining the optimal solar power station. To begin with, an innovative spherical fuzzy score function is brought forward to strengthen the efficiency of the comparison for spherical fuzzy number (SFN). Secondly, several newly operational laws for SFN are defined and some novel aggregation operation based on them are propounded. The corresponding excellent properties of the novel operators are also explored at length. Further, the spherical fuzzy method on the removal effects of criteria (MEREC) technique is presented by the proposed score function to work out the importance of the criteria. Lastly, an MCGDM approach is propounded based on improved spherical fuzzy CoCoSo to obtain the ranking of the solar power station locations. The feasibility and practicability of the proposed SF-MEREC-CoCoSo method are investigated through the comparison study with the extant methods. The sensibility analysis is also executed to discuss the robustness and stability of the propounded methodology.
当前研究的主要目标是构建一种基于组合折衷解（CoCoSo）和球面模糊集的集成多准则群体决策（MCGDM）方法，以确定最优太阳能电站。首先，提出了一种创新的球面模糊得分函数，以提高球面模糊数（SFN）比较的效率。其次，定义了几种新的SFN运算定律，并基于这些定律提出了一些新颖的聚合运算。还详细探讨了新型算子的相应优良性质。此外，利用所提出的得分函数提出了基于准则去除效应的球面模糊方法（MEREC）技术，以确定准则的重要性。最后，提出了一种基于改进球面模糊CoCoSo的MCGDM方法，以获得太阳能电站选址的排名。通过与现有方法的比较研究，考察了所提出的SF-MEREC-CoCoSo方法的可行性和实用性。还进行了敏感性分析，以讨论所提出方法的稳健性和稳定性。
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