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Computing with Words in Information/Intelligent Systems 2

Applications

  • Lotfi A. Zadeh
  • Janusz Kacprzyk

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 34)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Neuro-Fuzzy and Genetic Systems for Computing with Words

    1. Front Matter
      Pages 1-1
    2. Sanya Mitaim, Bart Kosko
      Pages 3-34
    3. Stefan Siekmann, Ralph Neuneier, Hans Georg Zimmermann, Rudolf Kruse
      Pages 35-74
  3. Tools for Linguistic Data Modeling and Analysis

    1. Front Matter
      Pages 119-119
    2. María Angeles Gil, Pedro A. Gil, Dan A. Ralescu
      Pages 137-157
  4. Linguistic Models in System Reliability, Quality Control and Risk Analyses

    1. Front Matter
      Pages 159-159
    2. Takehisa Onisawa, Akio Ohmori
      Pages 161-175
    3. Przemysław Grzegorzewski, Olgierd Hryniewicz
      Pages 176-193
    4. Chongfu Huang, Da Ruan
      Pages 195-220
  5. Linguistic Models in Decision Making, Optimization and Control

    1. Front Matter
      Pages 221-221
    2. Stefan Chanas, Dorota Kuchta
      Pages 270-288
    3. James J. Buckley, Thomas Feuring
      Pages 289-304
  6. Linguistic and Imprecise Information in Databases and Information Systems

    1. Front Matter
      Pages 323-323
    2. Frederick E. Petry, Maria Cobb, Ashley Morris
      Pages 345-367
    3. J. C. Cubero, J. M. Medina, O. Pons, M. A. Vila
      Pages 368-382
    4. Janusz Kacprzyk, Slawomir Zadrożny
      Pages 383-398
    5. Witold Pedrycz
      Pages 399-420
  7. Applications Information in Databases and Information Systems

    1. Front Matter
      Pages 435-435
    2. Maurice E. Cohen, Donna L. Hudson
      Pages 437-458
    3. Jerry M. Mendel, Sheila Murphy, Lynn C. Miller, Matt Martin, Nilesh Karnik
      Pages 459-483
    4. Josef Zelger, Andries G. de Wet, Anne-Marié Pothas, Don Petkov
      Pages 484-499
    5. Francisco Herrera, Enrique López, Cristina Mendaña, Miguel A. Rodríguez
      Pages 500-524
    6. Leïla Zerrouki, Bernadette Bouchon-Meunier, Rémy Fondacci
      Pages 525-547
    7. Grazyna Michalik, Wladyslaw Mielczarski
      Pages 548-566
    8. A. Filippidis, L. C. Jain, N. M. Martin
      Pages 586-609
  8. Back Matter
    Pages 610-610

About this book

Introduction

The volume is the first one in the world literature which is a comprehensive, up to date account on computing with words, a new direction in broadly perceived intelligent systems, proposed and advocated by Professor Zadeh, the founder of fuzzy sets theory and fuzzy logic. Historically, computing was focused on manipulation of numbers. However, in recent years it became more and more obvious that computing had been encompassing not only this, but also manipulation on signal, sounds, images and text; the latter aspects of computing are becoming more and more relevant. However, the traditional manipulation of text (e.g., machine translation, spell checking, etc.) does not cover the mainstream of computing with words, mainly the representation and manipulation of propositions from natural language describing operations and relations. Such problems cannot be solved by conventional methods of logic, probability theory and numerical analysis. Fuzzy logic is shown to be an effective tool to handle such problems.
Computing with words may form a basis of a computational theory of perceptions inspired by a remarkable human ability to perform a wide variety of tasks just on the basis of vague and imprecise information expressed in natural language.
In Part 2 applications in a wide array of fields are presented which use the paradigm of computing with words, exemplified by reasoning, data anaylsis, data mining, machine learning, risk anaylses, reliability and quality control, decision making, optimization and control, databases, medical diagnosis, business analyses, traffic management, power system planning, military applications, etc.

Keywords

control data analysis data mining data model fuzzy fuzzy logic fuzzy sets information system intelligence intelligent systems learning machine learning modeling optimization uncertainty

Editors and affiliations

  • Lotfi A. Zadeh
    • 1
  • Janusz Kacprzyk
    • 2
  1. 1.Berkeley Initiative in Soft Computing (BISC), Computer Science Division and Electronics Research Laboratory, Department of Electrical and Electronics, Engineering and Computer ScienceUniversity of CaliforniaBerkeleyUSA
  2. 2.Systems Research InstitutePolish Academy of SciencesWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1872-7
  • Copyright Information Physica-Verlag Heidelberg 1999
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2461-2
  • Online ISBN 978-3-7908-1872-7
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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