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Fuzzy Ontology and Information Granulation: An Approach to Knowledge Mobilisation

Christer Carlsson, Matteo Brunelli, Jozsef Mezei, Fuzzy Ontology and Information Granulation: An Approach to Knowledge Mobilisation. In: Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems, II, 420-429, Springer-Verlag, 2010.

Abstract:

In order to find a common conceptual framework to address the problems of representation and management of imprecise and vague knowledge in a semantic web we have analysed the role played by information granulation in human cognition. Fuzzy granulation underlies the basic concepts of linguistic variable and fuzzy if-then rules, which play a major role in the applications of fuzzy logic to the representation and treatment of imprecision and vagueness. Fuzzy information granulation is central to fuzzy logic because it is central to concept formation in human reasoning and to the design of intelligent systems, and therefore is central to the modelling of fuzzy ontologies.

BibTeX entry:

@INPROCEEDINGS{inpCaBrMe10a,
  title = {Fuzzy Ontology and Information Granulation: An Approach to Knowledge Mobilisation},
  booktitle = {Information Processing and Management of Uncertainty in Knowledge-Based Systems},
  author = {Carlsson, Christer and Brunelli, Matteo and Mezei, Jozsef},
  volume = {II},
  editor = {Hüllermeier, Eyke and Kruse, Rudolf and Hoffmann, Frank},
  publisher = {Springer-Verlag},
  pages = {420-429},
  year = {2010},
  keywords = {fuzzy ontology; information granulation, fuzzy numbers},
}

Belongs to TUCS Research Unit(s): Institute for Advanced Management Systems Research (IAMSR)

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