基于单调包含度的模糊决策信息系统的知识约简(英文)  

Using Hybrid Monotonic Inclusion Measure for Knowledge Reduction in Information Systems with Fuzzy Decisions

作　　者：张红英[1] 张文修[1] 

机构地区：[1]西安交通大学理学院,西安陕西710049

出　　处：《模糊系统与数学》2007年第6期141-147,共7页Fuzzy Systems and Mathematics

基　　金：973 Programs of China(2002CB312206);the National Natural Science Foundation of China(60574010);the Social Science Foundation of the Education Department of Shaanxi Province of China(Grant No.07JK101);the Natural Science Foun-dation of the Education Department of Shaanxi Province of China(Grant No.07JK422)

摘　　要：知识约简是机器学习,模式识别,信号处理等领域的主要问题之一。本文介绍了基于单调包含度的模糊决策信息系统的知识约简。证明了模糊决策信息系统的约简即是其对应信息系统的约简,从而为该种模糊决策信息系统的知识约简提供了简单直接的方法。Knowledge reduction or feature selection is one of the main problems encountered in many areas such as machine learning, pattern recognition and signal processing. In this paper, method of reduction of information systems with fuzzy decisions based on hybrid monotonic fuzzy inclusion measures are introduced. The reducts of fuzzy decision information systems are proved to be those of crisp information systems.

关 键 词：模糊包含度 信息系统 知识约简 粗糙集 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]