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  • 标题:Ant-based extraction of rules in simple decision systems over ontological graphs
  • 本地全文:下载
  • 作者:Krzysztof Pancerz ; Arkadiusz Lewicki ; Ryszard Tadeusiewicz
  • 期刊名称:International Journal of Applied Mathematics and Computer Science
  • 电子版ISSN:2083-8492
  • 出版年度:2015
  • 卷号:25
  • 期号:2
  • DOI:10.1515/amcs-2015-0029
  • 出版社:De Gruyter Open
  • 摘要: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 dominance-based 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
  • 关键词:ant-based clustering; decision systems; DRSA; ontological graphs; rule extraction
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