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Emergent rough set data analysis

Yasser Hassan (Department of Control and System Engineering, Toin University of Yokohama, Yokohama, Japan)
Eiichiro Tazaki (Department of Control and System Engineering, Toin University of Yokohama, Yokohama, Japan)

Kybernetes

ISSN: 0368-492X

Article publication date: 1 July 2005

571

Abstract

Purpose

The rough set concept is a new mathematical approach to imprecision, vagueness and uncertainty. This paper introduces the emergent computational paradigm and discusses its applicability and potential in rough set theory.

Design/methodology/approach

A conceptual discussion and approach are taken.

Findings

For accepting a system is displaying an emergent behavior, the system should be constructed by describing local elementary interactions between components in different ways of describing global behavior and properties of the running system over a period of time. The proposals of an emergent computation structure for implementing basic rough sets theory operators are also given in this paper.

Originality/value

The results will have an important impact on the development of new methods for knowledge discovery in databases, in particular for development of algorithmic methods for pattern extraction from data.

Keywords

Citation

Hassan, Y. and Tazaki, E. (2005), "Emergent rough set data analysis", Kybernetes, Vol. 34 No. 6, pp. 869-887. https://doi.org/10.1108/03684920510595544

Publisher

:

Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

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