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Fuzzy Applications in Industrial Engineering

  • Book
  • © 2006

Access provided by Autonomous University of Puebla

Overview

  • Includes recent applications of fuzziness in industrial engineering such as fuzzy multi-criteria decision-making, fuzzy neural networks, soft computational intelligence, fuzzy capital budgeting techniques

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

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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.

The authors
Among many authors in this book, some examples are H.-J. Zimmermann, Janusz Kacprzyk, Hideo Tanaka, Waldemar Karwowski, F. Herrera, C. Kolski, P. Paul Wang, E. Herrera-Viedma, Hung T. Nguyen, Vladik Kreinovich, Jose L. Verdegay, Tomoe Entani, Nikos Tsourveloudis, F. Jimenez.

Keywords

Table of contents (24 chapters)

  1. Applications of Fuzzy Sets in Industrial Engineering: A Topical Classification

  2. Fuzzy Engineering Economics and Investment Analysis Techniques

  3. Fuzzy Group and Multi-criteria Decision-making Techniques

  4. Fuzzy Techniques in Human Factors Engineering and Ergonomics

Editors and Affiliations

  • Industrial Department of Engineering Faculty Management, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

Bibliographic Information

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