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Proceedings Paper

Initiative learning algorithm based on rough set
Author(s): Guoyin Wang; Xiao He
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Paper Abstract

Rough set theory is emerging as a new tool for dealing with fuzzy and uncertain data. In this paper, a theory is developed to express, measure and process uncertain information and uncertain knowledge based on our result about the uncertainty measure of decision tables and decision rule systems. Based on Skowron’s propositional default rule generation algorithm, we develop an initiative learning model with rough set based initiative rule generation algorithm. Simulation results illustrate its efficiency.

Paper Details

Date Published: 21 March 2003
PDF: 9 pages
Proc. SPIE 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, (21 March 2003); doi: 10.1117/12.486851
Show Author Affiliations
Guoyin Wang, Chongqing Univ. of Posts and Telecommunications (China)
Xiao He, Chongqing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 5098:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology V
Belur V. Dasarathy, Editor(s)

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