一种基于TOPSIS的混合型多属性群决策方法

发布时间：2018-05-14 13:47

  本文选题：群决策 + 语言评价　； 参考：《中国管理科学》2012年04期

【摘要】：本文针对具有语言型和直觉模糊数两种评价信息的混合型多属性群决策问题,提出了一种基于TOPSIS的决策方法。首先,定义了新的函数,可将不同粒度的语言评价信息转换成直觉模糊数。其次,在直觉模糊数熵值的基础上,提出了一种新的专家权重确定模型。再次,利用IFWA算子在把个体决策矩阵集结为群体决策矩阵后,基于TOPSIS分别计算群体评价值到正理想解和负理想解的距离,从而得到方案集的排序。最后,在ERP选优问题中的应用,验证了方法的有效性。
[Abstract]:In this paper, a decision making method based on TOPSIS is proposed to solve the mixed multi-attribute group decision problem with linguistic and intuitionistic fuzzy number evaluation information. Firstly, a new function is defined to convert linguistic evaluation information with different granularity into intuitionistic fuzzy numbers. Secondly, based on the entropy of intuitionistic fuzzy numbers, a new expert weight determination model is proposed. Thirdly, after the individual decision matrix is assembled into group decision matrix by IFWA operator, the distance from positive ideal solution to negative ideal solution is calculated based on TOPSIS, and the sequence of scheme set is obtained. Finally, the effectiveness of the method is verified by the application in ERP optimization problem.
【作者单位】： 合肥工业大学管理学院;过程优化与智能决策教育部重点实验室;
【基金】：国家自然科学基金重点资助课题(70631003) 高校博士点基金项目(20110111110006) 教育部人文社会科学研究青年基金项目(09YJC630055);教育部人文社会科学研究一般项目基金资(11YJC630283)
【分类号】：C934
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本文编号：1888091