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Fuzzy Applications in Industrial Engineering

  • Cengiz Kahraman

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 201)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Applications of Fuzzy Sets in Industrial Engineering: A Topical Classification

    1. Cengiz Kahraman, Murat Gülbay, Özgür Kabak
      Pages 1-55
  3. Fuzzy Control Techniques and Reliability in Industry

    1. Front Matter
      Pages I-XIII
    2. R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera
      Pages 89-117
  4. Fuzzy Engineering Economics and Investment Analysis Techniques

    1. Front Matter
      Pages I-XIII
    2. Cengiz Kahraman, Murat Gülbay, Ziya Ulukan
      Pages 177-203
    3. Pavel Sevastjanov, Ludmila Dimova, Dmitry Sevastianov
      Pages 205-228
  5. Fuzzy Group and Multi-criteria Decision-making Techniques

    1. Front Matter
      Pages I-XIII
    2. F. Herrera, E. Herrera-Viedma, L. Martínez, L.G. Pérez2, A.G. López-Herrera, S. Alonso
      Pages 247-274
    3. Tomoe Entani, Kazutomi Sugihara, Hideo Tanaka
      Pages 291-304
  6. Fuzzy Techniques in Human Factors Engineering and Ergonomics

    1. Front Matter
      Pages I-XIII
    2. Yanfeng Hou, Jacek M. Zurada, Waldemar Karwowski, William S. Marras
      Pages 323-337
    3. Y. Chen, X. zeng, M. Happiette, P. Bruniaux, R. Ng, W. Yu
      Pages 367-379
  7. Fuzzy Techniques in Manufacturing Systems and Technology Management

    1. Front Matter
      Pages I-XIII
    2. H.-J. Zimmermann
      Pages 383-400
    3. Stratos Ioannidis, Nikos Tsourveloudis
      Pages 427-452
  8. Fuzzy Optimization Techniques

    1. Front Matter
      Pages I-XIII
    2. Amir Sharif, Zahir Irani
      Pages 455-504
    3. Carlos Cruz, Alejandro Sancho-Royo, David Pelta, José L. Verdegay
      Pages 505-519
    4. F. Jiménez, G. Sánchez, J.M. Cadenas, A. Gómez-Skarmeta, J.L. Verdegay
      Pages 521-533
  9. Fuzzy Statistical Decision-making Techniques

    1. Front Matter
      Pages I-XIII
    2. Nüfer Yasin Ateş, Sezi Çevik, Cengiz Kahraman, Murat Gülbay, S. Ayça Erdoğan
      Pages 537-572
    3. Peng Yan, Guoqing Chen
      Pages 573-587
    4. Cengiz Kahraman, Ahmet Beşkese, F. Tunç Bozbura
      Pages 589-615

About this book

Introduction

Industrial Engineering (IE) is concerned with the design, improvement, and installation of integrated systems of people, material, equipment, and energy. Industrial engineers face many problems with incomplete and vague information in these systems since the characteristics of these problems often require this kind of information. Fuzzy sets approaches are usually most appropriate when human evaluations and the modeling of human knowledge are needed. IE brings a significant number of applications of fuzzy set theory.

After an introductory chapter explaining the recent status of fuzzy sets in IE, this volume involves application chapters on the major seven areas of IE to which fuzzy set theory can contribute. These major application areas are Control and Reliability, Engineering Economics and Investment Analysis, Group and Multi-criteria Decision-making, Human Factors Engineering and Ergonomics, Manufacturing Systems and Technology Management, Optimization Techniques, and Statistical Decision-making. Under these major areas, every chapter includes didactic numerical applications.

Keywords

algorithms artificial intelligence calculus control ergonomics evolutionary algorithm fuzzy fuzzy control fuzzy logic fuzzy set fuzzy sets modeling optimization reliability uncertainty

Editors and affiliations

  • Cengiz Kahraman
    • 1
  1. 1.Industrial Department of Engineering Faculty ManagementIstanbul Technical UniversityIstanbulTurkey

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-33517-X
  • Copyright Information Springer 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-33516-0
  • Online ISBN 978-3-540-33517-7
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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