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Soft Computing in Measurement and Information Acquisition

  • Book
  • © 2003

Overview

Editors:
  1. Leon Reznik

    1. Rochester Institute of Technology, Rochester, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Vladik Kreinovich

    1. Department of Computer Science, University of Texas at El Paso, El Paso, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Invited papers covering the current research in the fields of measurement and information acquisition
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 127)

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Table of contents (19 chapters)

  1. Front Matter

    Pages I-XIV
    Download chapter PDF

  2. Uncertainty in Measurement: Some Thoughts about its Expressing and Processing

    • Luca Mari, Leon Reznik
    Pages 1-9

  3. Why Two Sigma? A Theoretical Justification

    • Hung T. Nguyen, Vladik Kreinovich, Gennady N. Solopchenko, Chin-Wang Tao
    Pages 10-22

  4. Fuzzy Linguistic Scales: Definition, Properties and Applications

    • Alexander Ryjov
    Pages 23-38

  5. A Fuzzy Shape Specification System to Support Design for Aesthetics

    • Binh Pham, Jinglan Zhang
    Pages 39-50

  6. Generating Membership Functions for a Noise Annoyance Model from Experimental Data

    • A. Verkeyn, M. De Cock, D. Botteldooren, E. E. Kerre
    Pages 51-67

  7. Possibilistic Logic: A Theoretical Framework for Multiple Source Information Fusion

    • Souhila Kaci, Salem Benferhat, Didier Dubois, Henri Prade
    Pages 68-89

  8. Automated Adaptive Situation Assessment

    • Mark G. Rutten, Dale A. Lambert
    Pages 90-104

  9. Soft Computing, Real-Time Measurement and Information Processing in a Modern Brewery

    • Duncan Campbell, Michael Lees
    Pages 105-120

  10. The Aggregation of Industrial Performance Information by the Choquet Fuzzy Integral

    • L. Berrah, G. Mauris, L. Foulloy
    Pages 121-135

  11. Computing Image with an Analog Circuit Inspired by the Outer Retinal Network

    • Seiji Kameda, Tetsuya Yagi
    Pages 136-150

  12. Extending the Decision Accuracy of a Bioinformatics System

    • A. Chong, T. D. Gedeon, K. W. Wong
    Pages 151-163

  13. On Fuzzy Controllers Having Radial Basis Transfer Functions

    • Domonkos Tikk, László T. Kóczy, Tamás D. Gedeon
    Pages 164-177

  14. Evolutionary Scene Recognition and Simultaneous Position/Orientation Detection

    • Mamoru Minami, Julien Agbanhan, Toshiyuki Asakura
    Pages 178-207

  15. Evolutionary Dynamics Identification of Multi-Link Manipulators Using Runge-Kutta-Gill RBF Networks

    • Thrishantha Nanayakkara, Keigo Watanabe, Kazuo Kiguchi, Kiyotaka Izumi
    Pages 208-222

  16. Towards Reliable Sub-Division of Geological Areas: Interval Approach

    • David D. Coblentz, Vladik Kreinovich, Brian S. Penn, Scott A. Starks
    Pages 223-233

  17. A Fuzzy Classifier with Pyramidal Membership Functions

    • Shigeo Abe
    Pages 234-248

  18. A Comparison of Soft Computing and Traditional Approaches for Risk Classification and Claim Cost Prediction in the Automobile Insurance Industry

    • Ai Cheo Yeo, Kate A. Smith, Robert J. Willis, Malcolm Brooks
    Pages 249-261

  19. Evolutionary Rule Generation and its Application to Credit Scoring

    • Susan E. Bedingfield, Kate A. Smith
    Pages 262-276

  20. Social Fuzziology in Action: Acquisition and Making Sense of Social Information

    • Vladimir Dimitrov, Brendon Stewart
    Pages 277-284
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Keywords

About this book

This volume covers the fields of measurement and information acqulSltlon. It contains a collection of papers representing the current research trends in these areas. What are those trends? The first one is the enormous growth in the amount of information and the amazing technologies, which make this information available anywhere and anytime. The second one is a substantial development of methods of the information presentation including, to name just a few, multimedia, virtual environment, computer animation. The third one is the all-time boosting demand for improving the quality of decisions made on the base of this information in various applications ranging from engineering to business. Nowadays information acquisition should not only provide more information but also provide it in such a way as to assure effective and efficient processing of this information. And here comes a relatively new methodology of soft computing. Application of soft computing in measurement and information acquisition is considered in this volume.

Editors and Affiliations

  • Rochester Institute of Technology, Rochester, USA

    Leon Reznik

  • Department of Computer Science, University of Texas at El Paso, El Paso, USA

    Vladik Kreinovich

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