Introduction

Pawel Delimata*, Mikhail Ju Moshkov, Andrzej Skowron, Zbigniew Suraj

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The monograph is devoted to the study of inhibitory rules. In contrast to deterministic (standard) rules which have the relation attribute = value on the right-hand side, inhibitory rules have on the right-hand side the relation attibute ≠ value. For information systems [60, 63, 72], we consider inhibitory association rules which on the right-hand side can have an arbitrary attribute. For decision systems (decision tables) [60], we consider inhibitory decision rules containing on the right-hand side the decision attribute. It is worthwhile mentioning that in the rough set approach the decision rules are used for extension of approximations of concepts from given samples of objects on the whole universe of objects (see, e.g., [5, 6, 75]).

Original languageEnglish (US)
Title of host publicationInhibitory Rules in Data Analysis
Subtitle of host publicationA Rough Set Approach
Pages1-8
Number of pages8
Volume163
DOIs
StatePublished - 2009
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume163
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence

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