混合型多属性决策的一种新方法  

A New Method for Hybrid Multiple Attribute Decision Making

作　　者：闫书丽[1] 杨万才[1] 肖新平[2] 

机构地区：[1]河南科技大学理学院,河南洛阳471003 [2]武汉理工大学理学院,湖北武汉430063

出　　处：《数学的实践与认识》2007年第16期111-116,共6页Mathematics in Practice and Theory

基　　金：国家自然科学基金(70471019)

摘　　要：研究了指标权重未知,指标值为实数、区间数、三角模糊数三种数据类型同时存在的混合型多属性决策问题,提出了从属度方法,把多目标问题转化为单目标问题,根据从属度大小对各方案进行排序.实例说明了该方法的有效性,可行性,从而为解决混合型多属性决策问题提供了一种新的有效途径.This paper studies hybrid multiple attribute decision making problem with real numbers and interval numbers and triangle fuzzy numbers, and an unknown weight information on indexes, and affiliate degree model is put forward, then the multi-objective problem is transformed into single-objective problem, and the ranking of alternatives is expressed by affiliate degree. In the end, the example indicates that the method is valuable and feasible, therefore, a new and effective way is provided to solve hybrid multi-attribute decision making problems.

关 键 词：混合型多属性决策 从属度 多目标问题 单目标问题 

分 类 号：N945.25[自然科学总论—系统科学]