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.
General
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