Rough Set Theory: A True Landmark in Data Analysis

丛 书 名：Studies in Computational Intelligence

版本说明：2009

作     者：Ajith Abraham Rafael Falcón Rafael Bello 

I S B N：(纸本) 9783540899204 

出 版 社：Springer Berlin Heidelberg 

出 版 年：2009年

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0701[理学-数学] 0811[工学-控制科学与工程] 070101[理学-基础数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms. The volume comprises 11 chapters and is organized into three parts. Part 1 deals with theoretical contributions while Parts 2 and 3 focus on several real world data mining applications. Chapters authored by pioneers were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Academics, scientists as well as engineers working in the rough set, computational intelligence, soft computing and data mining research area will find the comprehensive coverage of this book invaluable.