Optimization of inhibitory decision rules relative to length and coverage

Fawaz Alsolami; Igor Chikalov; Mikhail Moshkov; Beata Zielosko

doi:10.1007/978-3-642-31900-6_19

Optimization of inhibitory decision rules relative to length and coverage

Fawaz Alsolami, Igor Chikalov, Mikhail Moshkov, Beata Zielosko

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

The paper is devoted to the study of algorithms for optimization of inhibitory rules relative to the length and coverage. In contrast with usual rules that have on the right-hand side a relation "attribute ≠ value", inhibitory rules have a relation "attribute = value" on the right-hand side. The considered algorithms are based on extensions of dynamic programming. © 2012 Springer-Verlag.

Original language	English (US)
Title of host publication	Rough Sets and Knowledge Technology
Publisher	Springer Nature
Pages	149-154
Number of pages	6
ISBN (Print)	9783642318993
DOIs	https://doi.org/10.1007/978-3-642-31900-6_19
State	Published - 2012

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-642-31900-6_19

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title = "Optimization of inhibitory decision rules relative to length and coverage",

abstract = "The paper is devoted to the study of algorithms for optimization of inhibitory rules relative to the length and coverage. In contrast with usual rules that have on the right-hand side a relation {"}attribute ≠ value{"}, inhibitory rules have a relation {"}attribute = value{"} on the right-hand side. The considered algorithms are based on extensions of dynamic programming. {\textcopyright} 2012 Springer-Verlag.",

author = "Fawaz Alsolami and Igor Chikalov and Mikhail Moshkov and Beata Zielosko",

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T1 - Optimization of inhibitory decision rules relative to length and coverage

AU - Alsolami, Fawaz

AU - Chikalov, Igor

AU - Moshkov, Mikhail

AU - Zielosko, Beata

N1 - KAUST Repository Item: Exported on 2020-10-01

PY - 2012

Y1 - 2012

N2 - The paper is devoted to the study of algorithms for optimization of inhibitory rules relative to the length and coverage. In contrast with usual rules that have on the right-hand side a relation "attribute ≠ value", inhibitory rules have a relation "attribute = value" on the right-hand side. The considered algorithms are based on extensions of dynamic programming. © 2012 Springer-Verlag.

AB - The paper is devoted to the study of algorithms for optimization of inhibitory rules relative to the length and coverage. In contrast with usual rules that have on the right-hand side a relation "attribute ≠ value", inhibitory rules have a relation "attribute = value" on the right-hand side. The considered algorithms are based on extensions of dynamic programming. © 2012 Springer-Verlag.

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UR - http://link.springer.com/10.1007/978-3-642-31900-6_19

UR - http://www.scopus.com/inward/record.url?scp=84864995394&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-31900-6_19

DO - 10.1007/978-3-642-31900-6_19

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SN - 9783642318993

SP - 149

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BT - Rough Sets and Knowledge Technology

PB - Springer Nature

ER -

Optimization of inhibitory decision rules relative to length and coverage

Abstract

ASJC Scopus subject areas

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