Skip to main content
SpringerLink
Log in

Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems

  • Book
  • © 1995

Overview

Editors:
  1. Z. Bien

    1. Korea Advanced Institute of Science and Technology (KAIST), Taejon, Korea

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. K. C. Min

    1. Yonsei University, Seoul, Korea

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Theory and Decision Library D: (TDLD, volume 16)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (46 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Intelligent Systems

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Expressing Fuzzy Measure by a Model of Modal Logic: A Discrete Case

      • Zhenyuan Wang, George J. Klir, Germano Resconi
      Pages 3-13

    3. Fuzziness Reduction Method for a Combination Function

      • S. Tano, T. Arnould, Y. Kato, T. Miyoshi
      Pages 15-24

    4. A Comparison Between Two Methods to Optimize Cross-Detecting Lines for a Fuzzy Neuron

      • Masuo Furukawa, Takeshi Yamakawa
      Pages 25-34

    5. Modelling of Hysteretic Curves Based on Fuzzy Reasoning and its Application

      • Ikutaro Kumazaki, Eiichi Watanabe, Hitoshi Furuta
      Pages 35-43

    6. Estimation of Membership Functions for Pattern Recognition and Computer Vision

      • Swarup Medasani, Jaeseok Kim, Raghu Krishnapuram
      Pages 45-54

    7. Range Image Segmentation Through Fuzzy and Possibilistic Shell Clustering

      • Raghu Krishnapuram, Hichem Frigui, Olfa Nasraoui
      Pages 55-64

  3. Engineering

    1. Front Matter

      Pages 65-65
      Download chapter PDF

    2. On the Structure and Learning of Neural-Network-Based Fuzzy Logic Control Systems

      • C. T. Lin, C. S. G. Lee
      Pages 67-80

    3. Optimization of a Fuzzy Adaptive Network for Control Applications

      • A. O. Esogbue, J. A. Murrell
      Pages 81-89

    4. Lexicographic Tuning of a Fuzzy Controller

      • T. H. Whalen, B. Schott
      Pages 91-99

    5. On Design of the Self-Organizing Fuzzy Logic System Based on Genetic Algorithm

      • Yong Ho Kim, Hyun Chan Cho, Young Keel Choi, Hong Tae Jeon
      Pages 101-110

    6. Fuzzy Control as Self-Organizing Adaptive Constraint-Oriented Problem Solving

      • Osamu Katai, Masaaki Ida, Tetsuo Sawaragi, Kiminori Shimamoto, Sosuke Iwai, Masahiro Terabe et al.
      Pages 111-122

    7. Lipreading Using the Fuzzy Degree of Similarity

      • K. Kurosu, T. Furuya, M. Soeda, S. Takeuchi
      Pages 123-131

    8. Intelligent Restructuring of Automated Production Systems

      • Clarence W. De Silva
      Pages 133-145

    9. Fuzzy System Modeling and its Application to Mobile Robot Control

      • Y. H. Joo, H. S. Hwang, K. B. Woo, K. B. Kim
      Pages 147-156

    10. Defuzzification with Constraints

      • Ronald R. Yager, Dimitar P. Filev
      Pages 157-166

    11. On Quality Defuzzification

      • H. Hellendoorn, C. Thomas
      Pages 167-176

    12. A Fuzzy Neural Network: Structure and Learning

      • M. Figueiredo, F. Gomide, W. Pedrycz
      Pages 177-186
Back to top

Keywords

About this book

Fuzzy technology has emerged as one of the most exciting new concepts available. Fuzzy Logic and its Applications... covers a wide range of the theory and applications of fuzzy logic and related systems, including industrial applications of fuzzy technology, implementing human intelligence in machines and systems. There are four main themes: intelligent systems, engineering, mathematical foundations, and information sciences.
Both academics and the technical community will learn how and why fuzzy logic is appreciated in the conceptual, design and manufacturing stages of intelligent systems, gaining an improved understanding of the basic science and the foundations of human reasoning.

Editors and Affiliations

  • Korea Advanced Institute of Science and Technology (KAIST), Taejon, Korea

    Z. Bien

  • Yonsei University, Seoul, Korea

    K. C. Min

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation