2006Computer Technology and DevelopmentRequires access

The Research of Model of Granular Computing

YU Qing-ying

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Abstract

Granular computing(GrC) may be regarded as a label of theories,methodologies,techniques,and tools that make use of granules in the process of problem solving.Firstly,this paper introduces some fundamental conception and the research intention of GrC.Secondly,the basic problem of GrC is expounded.Finally,this paper analyzes some GrC models at present.The emphases of this paper is discussing the method of different granular space-quotient space.In addition,this paper compares these models from various angles in order to educe the similarities and differences of various models and prove the respective advantages and disadvantages.

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What this paper is about

Granular computing(GrC) may be regarded as a label of theories,methodologies,techniques,and tools that make use of granules in the process of problem solving.Firstly,this paper introduces some fundamental conception and the research intention of GrC.Secondly,the basic problem of GrC is expounded.Finally,this paper analyzes some GrC models at present.The emphases of this paper is discussing the method of different granular space-quotient space.In addition,this paper compares these models from various angles in order to educe the similarities and differences of various models and prove the respective advantages and disadvantages.

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Available abstract

Granular computing(GrC) may be regarded as a label of theories,methodologies,techniques,and tools that make use of granules in the process of problem solving.Firstly,this paper introduces some fundamental conception and the research intention of GrC.Secondly,the basic problem of GrC is expounded.Finally,this paper analyzes some GrC models at present.The emphases of this paper is discussing the method of different granular space-quotient space.In addition,this paper compares these models from various angles in order to educe the similarities and differences of various models and prove the respective advantages and disadvantages.

Key concepts: Granular computing, Computer science, Process (computing), Space (punctuation), Order (exchange), Quotient space (topology), Theoretical computer science, Quotient

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