Paper Title:
An Overview of Quotient Space Theory
  Abstract

Granular computing (GrC) is another solving method of artificial intelligence problems after neural network, fuzzy set theory, genetic algorithm, evolutionary algorithm and so on. GrC involves all the theories, methodologies and techniques of granularity, providing a powerful tool for the solution of complex problems, massive data mining, and fuzzy information processing. Quotient space theory is a representative model of granular computing. In this paper, first the current situation and the development prospects of quotient space theory are introduced, then the basic theory of quotient space granular computing are presented and the stratified and synthesis principle of granularity are summarized. Finally we discuss some important issues such as the application and promotion of quotient space

  Info
Periodical
Edited by
Yanwen Wu
Pages
326-331
DOI
10.4028/www.scientific.net/AMR.187.326
Citation
X. Wang, S. F. Ding, "An Overview of Quotient Space Theory", Advanced Materials Research, Vol. 187, pp. 326-331, 2011
Online since
February 2011
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