东南大学学报（英文版）2008，Vol.24Issue(4)：478-481,4.
基于梯形模糊语言变量的多属性决策方法
Multiple attribute decision making method based on trapezoid fuzzy linguistic variables
摘要
Abstract
The problem of multiple attribute decision making under fuzzy linguistic environments, in which decision makers can only provide their p References (attribute values)in the form of trapezoid fuzzy linguistic variables(TFLV), is studied. The formula of the degree of possibility between two TFL Vs is defined, and some of its characteristics are studied. Based on the degree of possibility of fuzzy linguistic variables, an approach to ranking the decision alternatives in multiple attribute decision making with TFLV is developed. The trapezoid fuzzy linguistic weighted averaging (TFLWA) operator method is utilized to aggregate the decision information, and then all the alternatives are ranked by comparing the degree of possibility of TFLV. The method can carry out linguistic computation processes easily without loss of linguistic information, and thus makes the decision results reasonable and effective. Finally, the implementation process of the proposed method is illustrated and analyzed by a practical example.关键词
梯形模糊语言变量/可能度/多属性决策Key words
trapezoid fuzzy linguistic variables/degree of possibility/multiple attribute decision making分类
管理科学引用本文复制引用
梁雪春,陈森发..基于梯形模糊语言变量的多属性决策方法[J].东南大学学报（英文版）,2008,24(4):478-481,4.基金项目
2008 Soft Science Program of Jiangsu Science and Tech-nology Department (No. BR2008098). （No. BR2008098）
