Information granules for intelligent knowledge structures

  • Authors:
  • Patrick Doherty;Witold Łukaszewicz;Andrzej Szałas

  • Affiliations:
  • Department of Computer Science, University of Linköping, Sweden;Department of Computer Science, University of Linköping, Sweden and The College of Economics and Computer Science, Olsztyn, Poland;Department of Computer Science, University of Linköping, Sweden and The College of Economics and Computer Science, Olsztyn, Poland

  • Venue:
  • RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
  • Year:
  • 2003

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Abstract

The premise of this paper is that the acquisition, aggregation, merging and use of information requires some new ideas, tools and techniques which can simplify the construction, analysis and use of what we call ephemeral knowledge structures. Ephemeral knowledge structures are used and constructed by granular agents. Each agent contains its own granular information structure and granular information structures of agents can be combined together. The main concept considered in this paper is an information granule. An information granule is a concise conceptual unit that can be integrated into a larger information infrastructure consisting of other information granules and dependencies between them. The novelty of this paper is that it provides a concise and formal definition of a particular view of information granule and its associated operators, as required in advanced knowledge representation applications.