Ant-based extraction of rules in simple decision systems over ontological graphs

Ant-based extraction of rules in simple decision systems over ontological graphs

In the paper, the problem of extraction of complex decision rules in simple decision systems over ontological graphs is considered. The extracted rules are consistent with the dominance principle similar to that applied in the dominancebased rough set approach (DRSA). In our study, we propose to use...

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Main Authors: Pancerz Krzysztof, Lewicki Arkadiusz, Tadeusiewicz Ryszard
Format: Article
Language:English
Published: Sciendo 2015-06-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
ant-based clustering
decision systems
drsa
ontological graphs
rule extraction
Online Access:https://doi.org/10.1515/amcs-2015-0029
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spelling doaj-24537f89439a4a708f1af3975cd63c7c2021-09-06T19:39:48ZengSciendoInternational Journal of Applied Mathematics and Computer Science2083-84922015-06-0125237738710.1515/amcs-2015-0029amcs-2015-0029Ant-based extraction of rules in simple decision systems over ontological graphsPancerz Krzysztof0Lewicki Arkadiusz1Tadeusiewicz Ryszard2Department of Computer Science and Knowledge Engineering University of Management and Administration, Akademicka 4, 22-400 Zamósć, PolandDepartment of Applied Informatics University of Information Technology and Management, Sucharskiego 2, 35-225 Rzeszów, PolandDepartment of Automatic Control and Biomedical Engineering AGH University of Science and Technology, Mickiewicza 30, 30-059 Kraków, PolandIn the paper, the problem of extraction of complex decision rules in simple decision systems over ontological graphs is considered. The extracted rules are consistent with the dominance principle similar to that applied in the dominancebased rough set approach (DRSA). In our study, we propose to use a heuristic algorithm, utilizing the ant-based clustering approach, searching the semantic spaces of concepts presented by means of ontological graphs. Concepts included in the semantic spaces are values of attributes describing objects in simple decision systemshttps://doi.org/10.1515/amcs-2015-0029ant-based clusteringdecision systemsdrsaontological graphsrule extraction
collection DOAJ
language English
format Article
sources DOAJ
author Pancerz Krzysztof
Lewicki Arkadiusz
Tadeusiewicz Ryszard
spellingShingle Pancerz Krzysztof
Lewicki Arkadiusz
Tadeusiewicz Ryszard
Ant-based extraction of rules in simple decision systems over ontological graphs
International Journal of Applied Mathematics and Computer Science
ant-based clustering
decision systems
drsa
ontological graphs
rule extraction
author_facet Pancerz Krzysztof
Lewicki Arkadiusz
Tadeusiewicz Ryszard
author_sort Pancerz Krzysztof
title Ant-based extraction of rules in simple decision systems over ontological graphs
title_short Ant-based extraction of rules in simple decision systems over ontological graphs
title_full Ant-based extraction of rules in simple decision systems over ontological graphs
title_fullStr Ant-based extraction of rules in simple decision systems over ontological graphs
title_full_unstemmed Ant-based extraction of rules in simple decision systems over ontological graphs
title_sort ant-based extraction of rules in simple decision systems over ontological graphs
publisher Sciendo
series International Journal of Applied Mathematics and Computer Science
issn 2083-8492
publishDate 2015-06-01
description In the paper, the problem of extraction of complex decision rules in simple decision systems over ontological graphs is considered. The extracted rules are consistent with the dominance principle similar to that applied in the dominancebased rough set approach (DRSA). In our study, we propose to use a heuristic algorithm, utilizing the ant-based clustering approach, searching the semantic spaces of concepts presented by means of ontological graphs. Concepts included in the semantic spaces are values of attributes describing objects in simple decision systems
topic ant-based clustering
decision systems
drsa
ontological graphs
rule extraction
url https://doi.org/10.1515/amcs-2015-0029
work_keys_str_mv AT pancerzkrzysztof antbasedextractionofrulesinsimpledecisionsystemsoverontologicalgraphs
AT lewickiarkadiusz antbasedextractionofrulesinsimpledecisionsystemsoverontologicalgraphs
AT tadeusiewiczryszard antbasedextractionofrulesinsimpledecisionsystemsoverontologicalgraphs
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