基于集成算子的单值中智集CoCoSo多属性群决策方法——单值中智集CoCoSo多属性群决策方法

A Novel Aggregation Operator-Based CoCoSo Approach for Single-Valued Neutrosophic Multi-Attribute Group Decision-Making—Single-Valued Neutrosophic Set CoCoSo Multi-Attribute Group Decision-Making

摘要: 针对准则权重信息完全未知的单值中智集(Single-Valued Neutrosophic Set)多属性群决策问题，提出一种基于新型集成算子的改进CoCoSo (Combined Compromise Solution)多属性群决策模型。主要创新点如下：首先，通过引入对数函数建立了单值中智集基本运算法则，在此基础上构建了一系列新型集成算子并系统研究了其数学性质。其次，针对属性权重完全未知的决策环境，提出了基于单值中智集得分函数的Rényi熵权重模型。基于上述理论，通过融合CoCoSo方法，提出改进的CoCoSo群决策框架。为验证模型的有效性，以公共卫生应急管理能力评价案例进行实证分析，通过敏感性分析和对比研究验证所提方法的鲁棒性和有效性。

Abstract: This study addresses multi-attribute group decision-making problems with completely unknown criterion weights in a single-valued neutrosophic set environment and proposes an improved CoCoSo multi-attribute group decision-making model based on novel aggregation operators. The main contributions are as follows: First, fundamental operational rules for single-valued neutrosophic sets are established using logarithmic functions, upon which a series of new aggregation operators are constructed, and their mathematical properties are systematically investigated. Second, for decision-making scenarios where attribute weights are entirely unknown, a Rényi entropy-based weighting model is proposed using SVN set score functions. Building on these theoretical innovations, an enhanced CoCoSo group decision-making framework is developed by integrating a multi-attribute compromise solution strategy. To validate the model’s effectiveness, a case study on green supplier selection is conducted, with sensitivity and comparative analyses confirming the robustness and validity of the proposed method.