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The Puzzle of Granular Computing

  • Bruno Apolloni
  • Witold Pedrycz
  • Simone Bassis
  • Dario Malchiodi

Part of the Studies in Computational Intelligence book series (SCI, volume 138)

Table of contents

  1. Front Matter
  2. The General Framework

    1. Front Matter
      Pages 1-1
    2. Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi
      Pages 3-39
  3. Part I: Algorithmic Inference

    1. Front Matter
      Pages 41-41
    2. Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi
      Pages 43-64
    3. Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi
      Pages 65-123
  4. Part II: The Development of Fuzzy Sets

    1. Front Matter
      Pages 125-125
    2. Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi
      Pages 127-154
    3. Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi
      Pages 155-188
  5. Part III: Expanding Granula into Boolean Functions

    1. Front Matter
      Pages 189-190
    2. Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi
      Pages 191-232
    3. Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi
      Pages 233-272
  6. Part IV: Directing Populations

    1. Front Matter
      Pages 273-273
    2. Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi
      Pages 275-316
    3. Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi
      Pages 317-340
  7. Part V: Granular Constructs

    1. Front Matter
      Pages 341-341
    2. Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi
      Pages 343-384
    3. Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi
      Pages 385-408
  8. A Conceptual Synthesis

    1. Front Matter
      Pages 409-409
    2. Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi
      Pages 411-449
  9. Back Matter

About this book

Introduction

Rem tene, verba sequentur (Gaius J. Victor, Rome VI century b.c.)

The ultimate goal of this book is to bring the fundamental issues of information granularity, inference tools and problem solving procedures into a coherent, unified, and fully operational framework. The objective is to offer the reader a comprehensive, self-contained, and uniform exposure to the subject.The strategy is to isolate some fundamental bricks of Computational Intelligence in terms of key problems and methods, and discuss their implementation and underlying rationale within a well structured and rigorous conceptual framework as well as carefully related to various application facets. The main assumption is that a deep understanding of the key problems will allow the reader to compose into a meaningful mosaic the puzzle pieces represented by the immense variety of approaches present in the literature and in the computational practice. All in all, the main approach advocated in the monograph consists of a sequence of steps offering solid conceptual fundamentals, presenting a carefully selected collection of design methodologies, discussing a wealth of development guidelines, and exemplifying them with a pertinent, accurately selected illustrative material.

Keywords

Cluster Computaional Intelligence Fuzzy Fuzzy Sets Granular Computing Granular Constructs algorithm algorithms construction fuzzy set modeling

Authors and affiliations

  • Bruno Apolloni
    • 1
  • Witold Pedrycz
    • 2
  • Simone Bassis
    • 1
  • Dario Malchiodi
    • 1
  1. 1.University of MilanoItaly
  2. 2.University of Alberta EdmontonCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-79864-4
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-79863-7
  • Online ISBN 978-3-540-79864-4
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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