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

Cengiz Kahraman

ISBN 10: 3642070116 / ISBN 13: 9783642070112

Editore: Springer, 2006

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628 pages. 9.25x6.10x1.43 inches. In Stock.

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Dati bibliografici

• Titolo: Fuzzy Applications in Industrial Engineering (Studies in Fuzziness and Soft Computing)
• Editore: Springer
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 3642070116
• ISBN 13: 9783642070112
• Rilegatura: Paperback
• Condizione: Brand New
• Peso: 0,96 chilogrammi

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

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.