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基于多指标区间数关联分析的相对隶属度方法
引用本文:周向红,陈海涛.基于多指标区间数关联分析的相对隶属度方法[J].中南林业科技大学学报,2006,26(4):101-104.
作者姓名:周向红  陈海涛
作者单位:中南大学商学院 湖南长沙410083(周向红),义乌工商学院国际贸易系 浙江义乌322000(陈海涛)
摘    要:针对具有区间数的多指标决策问题,借鉴一种逼近于理想点(TOPS IS)分析方法的思想,采用区间数灰色关联度的计算方法,对正、负关联度,利用相对隶属度方法对多方案进行排序,给出了解决区间数多指标决策问题的计算步骤.本文将整个评价方案看作一个整体来寻求正、负理想方案,该方法避免了区间数难以排序的问题,具有可理解性和可操作性.最后给出实例以验证该方法的有效性和实用性.

关 键 词:多指标决策  灰色关联度分析  相对隶属度  区间数
文章编号:1000-2502(2006)04-0101-04
修稿时间:2005年10月26

Relative Membership Degree Method for Incidence Analysis Based on Multi-Attribute Interval Number
ZHOU Xiang-hong,CHEN Hai-tao.Relative Membership Degree Method for Incidence Analysis Based on Multi-Attribute Interval Number[J].Journal of Central South Forestry University,2006,26(4):101-104.
Authors:ZHOU Xiang-hong  CHEN Hai-tao
Abstract:With respect to multiple attribute decision-making problems with interval number,the paper draws lessons from the idea of topsis, adopts the computing method for the grey incidence degree on the interval number and utilizes a relative membership degree method on the positive and negative relevancy degree to appraise a decision scheme.A calculation step for solving the decision-making problems with intervals is given.This avoids the difficult problems to rank the interval numbers,and views the decision scheme in a whole system to seek a positive and negative ideal scheme,thus being intelligible and operational.Finally,an example is given to prove the validity and practicability of the method.
Keywords:multiple attribute decision-making  grey incidence degree analysis  relative membership degree  interval number
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