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Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory

Computational Intelligence and Soft Computing Applications

  • Vassilis G. Kaburlasos

Table of contents

  1. Front Matter
    Pages I-XXII
  2. The Context

    1. Front Matter
      Pages 1-1
    2. Pages 3-4
  3. Theory and Algorithms

  4. Applications and Comparisons

    1. Front Matter
      Pages 95-95
  5. Conclusion

    1. Front Matter
      Pages 173-173
    2. Pages 175-178
    3. Pages 179-182
  6. Back Matter
    Pages 184-245

About this book

Introduction

By ‘model’ we mean a mathematical description of a world aspect. With the proliferation of computers a variety of modeling paradigms emerged under computational intelligence and soft computing. An advancing technology is currently fragmented due, as well, to the need to cope with different types of data in different application domains. This research monograph proposes a unified, cross-fertilizing approach for knowledge-representation and modeling based on lattice theory. The emphasis is on clustering, classification, and regression applications. It is shown how rigorous analysis and design can be pursued in soft computing using conventional (hard computing) methods. Moreover, non-Turing computation can be pursued. The material here is multi-disciplinary based on our on-going research published in major scientific journals and conferences. Experimental results by various algorithms are demonstrated extensively. Relevant work by other authors is also presented both extensively and comparatively.

Keywords

Graph algorithms classification computational intelligence knowledge knowledge representation modeling

Authors and affiliations

  • Vassilis G. Kaburlasos
    • 1
  1. 1.Department of Industrial InformaticsDivision of Computing Systems, Technological Educational Institution of Kavala65404KavalaGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-34170-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-34169-7
  • Online ISBN 978-3-540-34170-3
  • Buy this book on publisher's site
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