Fuzzy Applications in Industrial Engineering (Studies in Fuzziness and Soft Computing, 201)

Kahraman, Cengiz [Editor]

ISBN 10: 3540335161 / ISBN 13: 9783540335160

Verlag: Springer, 2006

Beschreibung

Springer Verlag; Berlin, 2006. Hardcover. A Very Good, binding sturdy and intact, trace handling marks, mild edge/corner wear, couple of small abrasions mid rear board, slightly cocked, few small nicks top text block edge, without Dust wrapper. A nice, clean and unmarked copy. 8vo[octavo or approx. 6 x 9 inches], 615pp., references. We pack securely and ship daily with delivery confirmation on every book. The picture on the listing page is of the actual book for sale. Additional Scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book.

Bestandsnummer des Verkäufers SKU1037202

Bibliografische Details

• Titel: Fuzzy Applications in Industrial Engineering (Studies in Fuzziness and Soft Computing, 201)
• Verlag: Springer
• Erscheinungsjahr: 2006
• Sprache: Englisch
• ISBN-10: 3540335161
• ISBN-13: 9783540335160
• Einband: hardcover
• Zustand: Very Good
• Verkäuferkataloge:
  • Math Text Books

Über diesen Titel

Inhaltsangabe

After an introductory chapter explaining recent applications of fuzzy sets in IE, this book explores the seven major areas of IE to which fuzzy set theory can contribute: 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.

Von der hinteren Coverseite

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.