运筹与管理 ›› 2019, Vol. 28 ›› Issue (12): 106-111.DOI: 10.12005/orms.2019.0278

• 理论分析与方法探讨 • 上一篇    下一篇

广义梯形模糊数密度加权算子及其应用

王露, 易平涛, 李伟伟, 刘军   

  1. 东北大学 工商管理学院,辽宁 沈阳 110167
  • 收稿日期:2018-08-06 出版日期:2019-12-25
  • 作者简介:王露(1992-),女,江西上饶人,博士研究生,主要研究方向:决策分析与系统评价;易平涛(1981-),男,湖南永州人,副教授,博士生导师,主要研究方向:决策分析与系统评价;李伟伟(1986-),女,山东烟台人,讲师,主要研究方向:决策分析与系统评价。
  • 基金资助:
    国家自然科学基金资助项目(71671031,71701040,71473033);教育部人文社会科学研究青年基金项目(17YJC630067)

Generalized Trapezoidal Fuzzy Number Density Weighted Operator and Its Application

WANG Lu, YI Ping-tao, LI Wei-wei, LIU Jun   

  1. School of Business Administration, Northeastern University, Shenyang 110167, China
  • Received:2018-08-06 Online:2019-12-25

摘要: 针对多属性决策问题,本文面向广义梯形模糊数的决策信息,提出了广义梯形模糊数密度加权算子(TF-DWA算子)的信息集结方法。首先介绍了广义梯形模糊数密度加权算子及其合成算子,并分析了其性质特点。然后,基于信息分布的疏密程度讨论了广义梯形模糊数的分组问题,通过质心排序指标值进行聚类。在此基础上,基于熵值法求解密度加权向量。最后,通过一个应用算例对本文提出的算子进行简要说明。

关键词: 不确定性多属性决策, 密度集结算子, 广义梯形模糊数, 质心排序指标值, 密度加权向量

Abstract: the problem ofmulti-attribute decision makingwith fuzzy language information as generalized trapezoid fuzzy number,this paper proposes an aggregation approach called generalized trapezoid fuzzy number density weighted(TF-DWA)operator. In the aggregation process, we firstly introducethe generalized trapezoid fuzzy number density weighted operator and its synthetic operators. Moreover, the primary properties of the operator are analyzed. Then, the grouping problem of the generalized trapezoid fuzzy number is discussed and a clustering method based on centroid ranking index value is given.Based on this, density-weighted vectors are solved based on entropy method. At last, the application of generalized trapezoid fuzzy number density aggregation operator is illustrated by a numerical example.

Key words: uncertain multi-attribute decision making, density aggregation operators, generalized trapezoid fuzzy number, centroid ranking index value, density weighting operator

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