• DocumentCode
    443964
  • Title

    Generalizing quotient space theory from structural viewpoint

  • Author

    Chen, Wan L. ; Cheng, Jia X.

  • Author_Institution
    Key Lab. of Intelligent Comput. & Signal Process., Anhui Univ., Hefei, China
  • Volume
    1
  • fYear
    2005
  • fDate
    25-27 July 2005
  • Firstpage
    121
  • Abstract
    Quotient space theory of problem solving, a formal model of granular computing, is generalized in the sense that topological structure is replaced by Cech´s closure space. Some basic issues of granular computing, such as the representation of real world at different levels of granularity, property preserving and the construction of granular world, are discussed in detail. It turns out that most of conclusions of the classical quotient space theory keep being valid, so intension and applicable fields are enriched and enlarged respectively.
  • Keywords
    problem solving; rough set theory; topology; Cech closure space; granular computing; problem solving; quotient space theory; topological structure; Artificial intelligence; Humans; Intelligent structures; Lattices; Path planning; Problem-solving; Processor scheduling; Set theory; Signal processing; Topology; Closure Space; Granular Computing; Quotient Space Theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9017-2
  • Type

    conf

  • DOI
    10.1109/GRC.2005.1547248
  • Filename
    1547248