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A data granulation model for searching knowledge about diagnosed objects

  • Anna Bryniarska
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 577)

Abstract

Diagnostic knowledge about chosen technical classes of objects can be effective gained by analyzing Internet webpages. In this paper for analyzing these data is proposed the data granulation method. Information granules are mathematical models describing data aggregates. Data aggregates are connected with each other and described by the Fuzzy Description Logic. It is presented that this data granulation model can be used to sharpen the diagnostic knowledge.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Computer ScienceOpole University of TechnologyOpolePoland

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