群决策中基于语言信息处理的一种粗糙集方法  

Rough set approach to group decision making based on linguistic information processing

作　　者：王珏[1] 刘三阳[1] 张杰[2] 

机构地区：[1]西安电子科技大学理学院,陕西西安710071 [2]西安电子科技大学雷达信号处理重点实验室,陕西西安710071

出　　处：《系统工程学报》2006年第1期18-23,共6页Journal of Systems Engineering

基　　金：2002年度教育部跨世纪优秀人才资金资助项目

摘　　要：针对一类具有语言判断矩阵形式偏好信息的群决策问题,提出了一种基于粗糙集的群决策方法.首先利用一小部分整体偏好信息构造一个成对比较表,然后根据优势粗糙集理论提取决策规则,最后定义一个评分函数对整个方案集进行排序和优选.该方法是一个先训练后决策的过程,特别适于大规模的方案优选问题.仿真实例表明了该方法的有效性和实用性.A rough set approach to group decision making is presented with respect to the decision making problems with linguistic assessment information. Firstly, a pairwise comparing table is constructed by using a little outranking information, then decision rules are extracted from this table based on dominance rough set theory. Finally, we define a score function to sort all the alternatives and select the best one. The method is in fact a two-stage procedure, first training and then decision, which is especially suitable for large scale decision making problems. An example shows that the method is effective.

关 键 词：语言分析 群决策 粗糙集 优势规则 

分 类 号：N945.25[自然科学总论—系统科学] C934[经济管理—管理学]