© 2006

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

About this book


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.


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

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