一种权重未知条件下的VIKOR大群体决策方法

发布时间：2018-05-05 06:21

本文选题：大群体决策 + 决策者权重　；参考：《计算机集成制造系统》2017年07期

【摘要】：针对权重未知的模糊多属性大群体决策问题,提出基于Humming距离构建决策者权重优化模型。采用区间直觉模糊决策矩阵表达决策者的评价信息,用MATLAB编程求解优化决策者权重;结合决策者权重,采用区间直觉模糊加权平均算子(IIFWA)获取综合决策矩阵,用信息熵计算指标属性权重。基于VIKOR框架,采用区间直觉模糊均衡交叉熵计算各方案、临界解与理想解的空间测度,实现方案排序。通过一个实例进行验证并与其他方法对比,说明了所提方法的可行性和有效性。
[Abstract]:In order to solve the problem of fuzzy multi-attribute large group decision making with unknown weights, a decision maker weight optimization model based on Humming distance is proposed. The evaluation information of decision maker is expressed by interval intuitionistic fuzzy decision matrix, the weight of decision maker is solved by MATLAB programming, and the comprehensive decision matrix is obtained by using interval intuitionistic fuzzy weighted average operator (IIFWA). The index attribute weight is calculated by information entropy. Based on the VIKOR framework, the interval intuitionistic fuzzy equilibrium cross-entropy is used to calculate the spatial measures of the critical solution and the ideal solution. The feasibility and effectiveness of the proposed method are demonstrated by an example and compared with other methods.
【作者单位】：中国矿业大学矿业工程学院工业工程系深部煤炭资源开采教育部重点实验室;
【基金】：国家自然科学基金资助项目(51505480,51475290) 江苏省自然科学基金资助项目(BK20150197)~~
【分类号】：C934

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