基于变精度粗糙直觉模糊集的决策规则获取  

Decision rule acquisition based on variable precision rough intuitionistic fuzzy sets

作　　者：王艳平[1] 

机构地区：[1]辽宁工业大学理学院,辽宁锦州121001

出　　处：《计算机工程与科学》2014年第3期541-544,共4页Computer Engineering & Science

基　　金：辽宁省教育厅基金资助项目(L2012226)

摘　　要：以直觉模糊目标信息系统为研究对象,以粗糙集和直觉模糊集为工具,以知识发现为目的,给出了从直觉模糊决策表中获取决策规则的一种有效方法。即通过对Pawlak粗糙隶属函数的定义进行推广,给出粗糙直觉模糊隶属函数,利用新的粗糙隶属函数,建立了变精度粗糙直觉模糊集模型。在此模型基础上定义了变精度粗糙直觉模糊集的近似质量和近似约简,由近似约简导出概率决策规则集,从而给出了直觉模糊决策表的概率决策规则获取方法。最后,以实例说明了这一方法的有效性。Taking the intuitionistic fuzzy goal information system as the research object, rough set and intuitionistic fuzzy sets as the research tools, knowledge discovery as the research purpose, an effec- tive method is given to get decision rules from the intuitionistic fuzzy decision table. That is, through generalizing the definition of Pawlak rough membership functions, the rough intuitionistic fuzzy mem- bership function is given, and using new rough membership function, a variable precision rough intu- itionistic fuzzy set model is established. And based on this model, the approximation quality and approx- imate reduction of the variable precision rough intuitionistic fuzzy set are defined, the approximate re- duction derives the probabilistic decision rules set, hence the probabilistic decision rules of the intuition- istic fuzzy decision table acquisition method is given. Finally, the practical example is given to illustrate the effectiveness of the method.

关 键 词：直觉模糊集 变精度粗糙集 近似约简 近似质量 粗糙隶属函数 

分 类 号：TP301[自动化与计算机技术—计算机系统结构] O236[自动化与计算机技术—计算机科学与技术]