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基于ITFOWA算子的多属性决策方法研究
引用本文:陶志富,陈华友,王晓.基于ITFOWA算子的多属性决策方法研究[J].合肥学院学报(自然科学版),2009,19(4):11-15.
作者姓名:陶志富  陈华友  王晓
作者单位:安徽大学,数学科学学院,合肥,230039
基金项目:国家自然科学基金项目,安徽省优秀青年科技基金项目,安徽省自然科学基金项目,安徽高等学校省级教学研究项目,安徽省高校青年教师科研资助计划项目,安徽大学人才队伍建设项目资助 
摘    要:将梯形模糊有序加权平均算子(TFOWA)扩充至诱导的梯形模糊有序加权平均(ITFOWA)算子情形.提出两梯形模糊数接近度概念,用其度量属性本身的重要性程度、并以属性值的接近度作为诱导变量,采用ITFOWA算子进行信息集结,得到一种新的基于诱导梯形模糊有序加权平均算子的多属性决策方法.

关 键 词:多属性决策  梯形模糊数  诱导梯形模糊有序加权平均算子

Research on Multi-attribute Decision Making Based on ITFOWA Operator
TAO Zhi-fu,CHEN Hua-you,WANG Xiao.Research on Multi-attribute Decision Making Based on ITFOWA Operator[J].Journal of Hefei University :Natural Sciences,2009,19(4):11-15.
Authors:TAO Zhi-fu  CHEN Hua-you  WANG Xiao
Institution:(School of Mathematical Science, Anhui University, Hefei 230039, China)
Abstract:This paper contributes to extend the trapezoidal fuzzy ordered weighted averaging operator (TFOWA) to induced trapezoidal fuzzy ordered weighted averaging operator (ITFOWA). An adjacent degree between two trapezoidal fuzzy numbers is introduced on the basis of properties of attribute value, through which we get the induced value of each attribute and then aggregate information. A new multi -attribute decision making model is proposed based on this extended ITFOWA operator.
Keywords:multi-attribute decision making  trapezoidal fuzzy numbers  induced trapezoidal fuzzy ordered weighted averaging (ITFOWA) operator
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