International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Associations Among Information Granules and Their Optimization in Granulation-Degranulation Mechanism of Granular Computing

  • Pedrycz, Witold (Department of Electrical & Computer Engineering, University of Alberta, Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Systems Research Institute, Polish Academy of Sciences)
  • Received : 2013.12.04
  • Accepted : 2013.12.24
  • Published : 2013.12.25
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Abstract

Knowledge representation realized by information granules is one of the essential facets of granular computing and an area of intensive research. Fuzzy clustering and clustering are general vehicles to realize formation of information granules. Granulation - degranulation paradigm is one of the schemes determining and quantifying functionality and knowledge representation capabilities of information granules. In this study, we augment this paradigm by forming and optimizing a collection of associations among original and transformed information granules. We discuss several transformation schemes and analyze their properties. A series of numeric experiments is provided using which we quantify the improvement of the degranulation mechanisms offered by the optimized transformation of information granules.

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References

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