Zhang Li
Abstract
Granular computing (GrC) involves the theories,methodologies,techniques,and tools that make use of granules in the process of problem solving.This paper introduces the basic ideas and basic issues of GrC,as well as three main GrC models:fuzzy set,rough set and quotient space.After that,the applications of GrC in data mining are discussed.
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Granular computing (GrC) involves the theories,methodologies,techniques,and tools that make use of granules in the process of problem solving.This paper introduces the basic ideas and basic issues of GrC,as well as three main GrC models:fuzzy set,rough set and quotient space.After that,the applications of GrC in data mining are discussed.
Key concepts: Granular computing, Computer science, Rough set, Data mining, Set (abstract data type), Process (computing), Fuzzy set, Quotient space (topology)