首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于梯形模糊语言变量的多属性决策方法
引用本文: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,2008,24(4).
作者姓名:梁雪春  陈森发
作者单位:[1]东南大学经济管理学院,南京210096 [2]南京工业大学自动化学院,南京210009
摘    要:研究了决策者的偏好信息(属性值)为梯形模糊语言变量(TFLV)的模糊语言多属性决策问题.定义了2个梯形模糊语言变量比较的可能度公式并研究了它的一些基本性质,给出了基于可能度公式的梯形模糊语言变量多属性决策的方案排序方法.这种方法通过对决策信息进行TFLWA算子加权集结,并通过比较梯形模糊语言变量的可能度得到所有方案的排序结果.在不损失模糊语言信息的条件下,该方法计算过程简单,决策结果合理且有效.最后,通过一个实例说明了该方法的操作过程.

关 键 词:梯形模糊语言变量  可能度  多属性决策

Multiple attribute decision making method based on trapezoid fuzzy linguistic variables
Liang Xuechun,Chen Senfa.Multiple attribute decision making method based on trapezoid fuzzy linguistic variables[J].Journal of Southeast University(English Edition),2008,24(4).
Authors:Liang Xuechun  Chen Senfa
Abstract:The problem of multiple attribute decision making under fuzzy linguistic environments,in which decision makers can only provide their preferences (attribute values)in the form of trapezoid fuzzy linguistic variables(TFLV),is studied.The formula of the degree of possibility between two TFLVs 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.
Keywords:trapezoid fuzzy linguistic variables  degree of possibility  multiple attribute decision making
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号