Human-Centric Information Processing Through Granular Modelling

  • Andrzej Bargiela
  • Witold Pedrycz

Part of the Studies in Computational Intelligence book series (SCI, volume 182)

Table of contents

  1. Front Matter
  2. Tuan Trung Nguyen, Andrzej Skowron
    Pages 1-30
  3. Yiyu Yao
    Pages 31-47
  4. James F. Peters, Sheela Ramanna
    Pages 49-66
  5. Wen-xiu Zhang, Hong-zhi Yang, Jian-min Ma, Guo-fang Qiu
    Pages 67-94
  6. Paulo Fazendeiro, José Valente de Oliveira
    Pages 119-151
  7. Siegfried Gottwald
    Pages 153-184
  8. Oscar Castillo, Patricia Melin
    Pages 203-231
  9. Bruno Apolloni, Simone Bassis, Antonio G. Zippo
    Pages 233-264
  10. Giovanni Acampora, Vincenzo Loia, Athanasios V. Vasilakos
    Pages 265-287
  11. Ranajit Das, Sushmita Mitra
    Pages 313-327
  12. Tadeusz Burczyński, Piotr Orantek
    Pages 329-350
  13. Kazuhito Sawase, Hajime Nobuhara, Barnabas Bede
    Pages 351-373
  14. Julie Greensmith, Uwe Aickelin
    Pages 375-395
  15. Back Matter

About this book

Introduction

The idea of Human-Centric Information Processing was prompted by the pioneering work of Zadeh Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic (1997). Since the publication of this work, a large number of researchers have focused on identifying the nature of information granulation and its specific relationship to human information processing. We now begin to witness the rich and manifold results of this concentrated research effort of the last decade.

This volume is intended to document the milestone contributions to human-centric information processing research and to demonstrate the emerging computational methods and the processing environments that arose from these research insights. The chapters, written by experts in the field, cover the fundamental methodologies, the new information processing paradigm, functional architectures of granular information processing and granular modeling applications.

The book provides a valuable reference for researchers, graduate students intending to focus on particular aspects of human-centric information processing from a broadly informed perspective and for practitioners to whom the breadth of coverage of topics will help inspire innovative applications.

Keywords

Granular Computing Granular Modelling bioinformatics calculus computational intelligence databases fuzzy fuzzy logic fuzzy set fuzzy sets intelligence linear optimization modeling uncertainty

Editors and affiliations

  • Andrzej Bargiela
    • 1
  • Witold Pedrycz
    • 2
  1. 1.School of Computer ScienceThe University of NottinghamSemenyih Selangor Darul EhsanMalaysia
  2. 2.Department of Electrical & Computer EngineeringUniversity of AlbertaEdmontonCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-92916-1
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-92915-4
  • Online ISBN 978-3-540-92916-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book