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Granular Computing: At the Junction of Rough Sets and Fuzzy Sets

  • Editors
  • Rafael Bello
  • Rafael Falcón
  • Witold Pedrycz
  • Janusz Kacprzyk

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 224)

Table of contents

  1. Front Matter
  2. Fuzzy and Rough Sets’ Theoretical and Practical Aspects

    1. Front Matter
      Pages 1-1
    2. Cristina Coppola, Giangiacomo Gerla, Tiziana Pacelli
      Pages 23-42
    3. Gianpiero Cattaneo, Davide Ciucci, Daniela Bianucci
      Pages 55-77
    4. Zbigniew Suraj, Piotr Grochowalski
      Pages 79-92
    5. Matthias Steinbrecher, Rudolf Kruse
      Pages 93-104
    6. Silvia Calegari, Paolo Radaelli, Davide Ciucci
      Pages 105-120
    7. Wanessa Amaral, Fernando Gomide
      Pages 121-130
    8. Gwanggil Jeon, Rafael Falcón, Jechang Jeong
      Pages 131-147
  3. Fuzzy and Rough Sets in Machine Learning and Data Mining

    1. Front Matter
      Pages 149-149
    2. Yanet Rodríguez, Rafael Falcón, Alain Varela, María M. García
      Pages 151-161
    3. Boris Martínez, Francisco Herrera, Jesús Fernández, Erick Marichal
      Pages 163-178
    4. Andrés Soto, José A. Olivas, Manuel E. Prieto
      Pages 179-198
    5. Yailé Caballero, Rafael Bello, Leticia Arco, Yennely Márquez, Pedro León, María M. García et al.
      Pages 199-210
    6. Leticia Arco, Rafael Bello, Yailé Caballero, Rafael Falcón
      Pages 229-248
  4. Fuzzy and Rough Sets in Decision-Making

    1. Front Matter
      Pages 259-259
    2. Gwanggil Jeon, Rafael Falcón, Jechang Jeon
      Pages 269-285
    3. Julia Johnson, Genevieve Johnson
      Pages 287-306
    4. Fábio Hernandes, Maria Teresa Lamata, José Luis Verdegay, Akebo Yamakami
      Pages 307-320
    5. Mercedes Ramírez Mendoza, Pedro Albertos
      Pages 321-332
  5. Back Matter

About this book

Introduction

Since their very inception, both fuzzy and rough set theories have earned a sound, well-deserved reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. The increasing amount of investigations on both subjects reported every year in the literature vouches for the dynamics of the area and its rapid advancements.

In the last few years the widespread utilization of fuzzy and rough sets as granulation sources has contributed to lay both methodologies in a privileged position within Granular Computing, thus giving rise to a sort a modeling which is far closer to the way human beings perceive their environment – via granulated knowledge.

This volume is a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba. You will therefore find valuable contributions both in the theoretical field as in several application domains such as intelligent control, data analysis, decision making and machine learning, just to name a few. Together, they will catch you up with the huge potential of the aforementioned methodologies.

Keywords

algorithms control data analysis data mining expert system fuzzy fuzzy set fuzzy sets information system learning machine learning modeling neural networks semantics set theory

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-76973-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-76972-9
  • Online ISBN 978-3-540-76973-6
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site