基于粗集的多准则决策分析  

Multi-criteria decision analysis based on rough sets

作　　者：安利平[1] 陈增强[2] 

机构地区：[1]南开大学商学院,天津300071 [2]南开大学信息技术科学学院,天津300071

出　　处：《控制与决策》2013年第1期1-12,19,共13页Control and Decision

基　　金：国家自然科学基金项目(71071079)

摘　　要：多准则决策分析(MCDA)用于解决分类、分级、选择、排序和描述问题,随着现实世界正变得由数据所驱动,传统的MCDA方法面临着更多的挑战.粗集方法是MCDA的有用工具,在多准则决策问题的分类框架下,从二元关系的角度对粗集方法的研究现状进行了评述,包括二元关系的建立、定义粗糙近似、导出决策规则和规则应用,并通过文献研究得出了基于粗集的MCDA方法的发展动态.The objective of multi-criteria decision analysis （MCDA） is to solve one of the following typologies of problems： Classification, sorting, choice, ranking and description. As the world is becoming data-driven, the challenges of traditional MCDA methodologies are rapidly increasing. The rough set approach is a useful tool for MCDA. The objective is to review the rough-set-based research conducted on the framework of the MCDA from the perspective of binary relations, including the construction of binary relations, the definition of rough approximations, the inference of decision rules and the application of the rules. The development trends of MCDA methods based on rough sets are commented through the literature research.

关 键 词：多准则决策分析 粗集 二元关系 决策规则 

分 类 号：N94[自然科学总论—系统科学]