摘要
针对群决策分类问题,提出一种可以从多个决策表中获取群体分类偏好的可变精度粗糙集方法。首先定义决策表分类模式和频度的概念,其次给出每种分类模式在群体中的支持率和反对率的计算方法,以及如何调整粗糙精度因子,得出群体分类偏好的方法,最后通过一个算例验证新方法的可行性和有效性。
For a kind of group decision clarification problem, a method aggregating group preference from multiple decision tables based on variable precision rough set is proposed. Firstly, the definition of classification patterns and frequency function are presented, secondly, the approach on how to calculate the agreement radio of classification and obtain group classification preference by increasing precision factor is proposed, finally, an example shows the feasibility and availability of the method.
出处
《系统工程》
CSCD
北大核心
2007年第8期94-97,共4页
Systems Engineering
基金
国家自然科学基金重点资助项目(70631004)
关键词
决策分析
群决策
可变精度粗糙集
分类
Decision Analysis
Group Decision
Variable Precision Rough Sets
Classification
