基于可辨识矩阵的模糊目标系统决策约简算法  

A Decision Reduction Algorithm Based on the Discernibility Matrix in the Fuzzy Object System

作　　者：杨成福[1,2] 舒兰[1] 

机构地区：[1]电子科技大学应用数学学院,四川成都610054 [2]河西学院数学系,甘肃张掖734000

出　　处：《数学的实践与认识》2009年第5期103-107,共5页Mathematics in Practice and Theory

基　　金：国家自然科学基金(10671030);电子科技大学中青年学术带头人培养计划(Y02018023601033)

摘　　要：在模糊目标信息系统决策约简和可辨识矩阵定义的基础上,讨论了可辨识矩阵的性质以及与决策约简集之间的关系.同时定义一种新的属性重要度,并将此作为启发式信息,设计了一种模糊目标决策信息系统最小决策约简算法,通过实例验证该算法简捷、有效.Based on the definition of the decision reduction and the discernibility matrix in the fuzzy object information system, The property of the discernibility matrix and relation between the discernibility matrix and decision reduction set are discussed. At the same time, A new significance of attribute is defined and taking it as heuristic information, a minimal decision reduction algorithm in the fuzzy object decision information system is designed. The result of the example shows that this algorithm is not only brief, but also effective.

关 键 词：模糊目标信息系统 可辨识矩阵 决策约简 算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP399[自动化与计算机技术—控制科学与工程]