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Rough-Neural Computing

Techniques for Computing with Words

  • Book
  • © 2004

Overview

Editors:
  1. Sankar K. Pal

    1. Indian Statistical Institute, Machine Intelligence Unit, Calcutta, India

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  2. Lech Polkowski

    1. Department of Mathematics and Computer Science, University of Warmia and Mazury, Olsztyn, Poland

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    You can also search for this editor in PubMed   Google Scholar

  3. Andrzej Skowron

    1. Institute of Mathematics, Warsaw University, Warsaw, Poland

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    You can also search for this editor in PubMed   Google Scholar

  • Unique text and reference book for graduate students in Computer Science and for researchers and practitioners in industry and R&D laboratories
  • Includes supplementary material: sn.pub/extras

Part of the book series: Cognitive Technologies (COGTECH)

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Table of contents (28 chapters)

  1. Front Matter

    Pages I-XXV
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  2. Rough Sets, Granular Computing, and Rough-Neural Computing: Foundations

    1. Front Matter

      Pages 1-4
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    2. Elementary Rough Set Granules: Toward a Rough Set Processor

      • ZdzisÅ‚aw Pawlak
      Pages 5-13

    3. Rough-Neural Computing: An Introduction

      • Sankar K. Pal, James F. Peters, Lech Polkowski, Andrzej Skowron
      Pages 15-41

    4. Information Granules and Rough-Neural Computing

      • Andrzej Skowron, JarosÅ‚aw Stepaniuk
      Pages 43-84

    5. A Rough-Neural Computation Model Based on Rough Mereology

      • Lech Polkowski
      Pages 85-108

    6. Knowledge-Based Networking in Granular Worlds

      • Witold Pedrycz
      Pages 109-137

    7. Adaptive Aspects of Combining Approximation Spaces

      • Jakub Wróblewski
      Pages 139-156

    8. Algebras from Rough Sets

      • Mohua Banerjee, Mihir K. Chakraborty
      Pages 157-184

  3. Hybrid Approaches

    1. Front Matter

      Pages 185-188
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    2. Approximation Transducers and Trees: A Technique for Combining Rough and Crisp Knowledge

      • Patrick Doherty, Witold Lukaszewicz, Andrzej Skowron, Andrzej SzaÅ‚as
      Pages 189-218

    3. Using Contextually Closed Queries for Local Closed-World Reasoning in Rough Knowledge Databases

      • Patrick Doherty, JarosÅ‚aw Kachniarz, Andrzej Szalas
      Pages 219-250

    4. On Model Evaluation, Indexes of Importance, and Interaction Values in Rough Set Analysis

      • Günther Gediga, lvo Düntsch
      Pages 251-275

    5. New Fuzzy Rough Sets Based on Certainty Qualification

      • Masahiro Inuiguchi, Tetsuzo Tanino
      Pages 277-296

    6. Toward Rough Datalog: Embedding Rough Sets in Prolog

      • Jan MaÅ‚uszyÅ„ski, Aida Vitória
      Pages 297-332

    7. On Exploring Soft Discretization of Continuous Attributes

      • Hung Son Nguyen
      Pages 333-350

    8. Rough-SOM with Fuzzy Discretization

      • Sankar K. Pal, Biswarup Dasgupta, Pabitra Mitra
      Pages 351-367

  4. Exemplary Application Areas

    1. Front Matter

      Pages 369-372
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    2. Biomedical Inference: A Semantic Model

      • Jan Doroszewski
      Pages 373-409

    3. Fundamental Mathematical Notions of the Theory of Socially Embedded Games: A Granular Computing Perspective

      • Anna GomoliÅ„ska
      Pages 411-434
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Keywords

About this book

Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g. in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, genetic algorithms, and others.

It is well understood now in the soft computing community that hybrid approaches combining various paradigms are very promising approaches for solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neuro computing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.

 

Reviews

From the reviews:

"This book (actually edited volume) presents recent advances in the area of rough neural computer from a wide konge (sic) of perspectives. … The book contains a few introductory articles suitable to understand what the field of rough several computing is about." (Jan Friso Groote, Zentralblatt MATH, Vol. 1040(9), 2004)

Editors and Affiliations

  • Indian Statistical Institute, Machine Intelligence Unit, Calcutta, India

    Sankar K. Pal

  • Department of Mathematics and Computer Science, University of Warmia and Mazury, Olsztyn, Poland

    Lech Polkowski

  • Institute of Mathematics, Warsaw University, Warsaw, Poland

    Andrzej Skowron

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