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

Krzysztof Pancerz; Arkadiusz Lewicki; Ryszard Tadeusiewicz

International Journal of Applied Mathematics and Computer Science (2015)

- Volume: 25, Issue: 2, page 377-387
- ISSN: 1641-876X

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topKrzysztof Pancerz, Arkadiusz Lewicki, and Ryszard Tadeusiewicz. "Ant-based extraction of rules in simple decision systems over ontological graphs." International Journal of Applied Mathematics and Computer Science 25.2 (2015): 377-387. <http://eudml.org/doc/270732>.

@article{KrzysztofPancerz2015,

abstract = {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.},

author = {Krzysztof Pancerz, Arkadiusz Lewicki, Ryszard Tadeusiewicz},

journal = {International Journal of Applied Mathematics and Computer Science},

keywords = {ant-based clustering; decision systems; DRSA; ontological graphs; rule extraction},

language = {eng},

number = {2},

pages = {377-387},

title = {Ant-based extraction of rules in simple decision systems over ontological graphs},

url = {http://eudml.org/doc/270732},

volume = {25},

year = {2015},

}

TY - JOUR

AU - Krzysztof Pancerz

AU - Arkadiusz Lewicki

AU - Ryszard Tadeusiewicz

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

JO - International Journal of Applied Mathematics and Computer Science

PY - 2015

VL - 25

IS - 2

SP - 377

EP - 387

AB - 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.

LA - eng

KW - ant-based clustering; decision systems; DRSA; ontological graphs; rule extraction

UR - http://eudml.org/doc/270732

ER -

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