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Fuzzy Applications in Industrial Engineering

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Fuzzy Applications in Industrial Engineering Synopsis

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.

About This Edition

ISBN: 9783642070112
Publication date: 16th December 2010
Author: Cengiz Kahraman
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 615 pages
Series: Studies in Fuzziness and Soft Computing
Genres: Maths for engineers
Production and industrial engineering
Business mathematics and systems
Applied mathematics
Artificial intelligence
Business applications