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Rough sets

Published:1995-11 Issue:11 Volume:38 Page:88-95
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Pawlak Zdzislaw¹,Grzymala-Busse Jerzy²,Slowinski Roman³,Ziarko Wojciech⁴

Affiliation:

1. Warsaw Univ. of Technology, Warsaw, Poland

2. Univ. of Kansas, Lawrence

3. Poznan Univ. of Technology, Poznan, Poland

4. Univ. of Regina, Sask., Canada

Abstract

Rough set theory, introduced by Zdzislaw Pawlak in the early 1980s [11, 12], is a new mathematical tool to deal with vagueness and uncertainty. This approach seems to be of fundamental importance to artificial intelligence (AI) and cognitive sciences, especially in the areas of machine learning, knowledge acquisition, decision analysis, knowledge discovery from databases, expert systems, decision support systems, inductive reasoning, and pattern recognition.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/219717.219791

Reference25 articles.

1. Knowledge acquisition under uncertainty--A rough set approach.J, lntel;Grzymala-Busse J. W;Rob. Syst.,1988

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