Fuzzy Sets in Engineering Design and Configuration - Couverture souple

Couverture souple

ISBN 10 : 1461286360 ISBN 13 : 9781461286363

Editeur : Springer, 2011

Synopsis

As understanding of the engineering design and configuration processes grows, the recognition that these processes intrinsically involve imprecise information is also growing. This book collects some of the most recent work in the area of representation and manipulation of imprecise information during the syn- thesis of new designs and selection of configurations. These authors all utilize the mathematics of fuzzy sets to represent information that has not-yet been reduced to precise descriptions, and in most cases also use the mathematics of probability to represent more traditional stochastic uncertainties such as un- controlled manufacturing variations, etc. These advances form the nucleus of new formal methods to solve design, configuration, and concurrent engineering problems. Hans-Jurgen Sebastian Aachen, Germany Erik K. Antonsson Pasadena, California ACKNOWLEDGMENTS We wish to thank H.-J. Zimmermann for inviting us to write this book. We are also grateful to him for many discussions about this new field Fuzzy Engineering Design which have been very stimulating. We wish to thank our collaborators in particular: B. Funke, M. Tharigen, K. Miiller, S. Jarvinen, T. Goudarzi-Pour, and T. Kriese in Aachen who worked in the PROKON project and who elaborated some of the results presented in the book. We also wish to thank Michael J. Scott for providing invaluable editorial assis- tance. Finally, the book would not have been possible without the many contributions and suggestions of Alex Greene of Kluwer Academic Publishers. 1 MODELING IMPRECISION IN ENGINEERING DESIGN Erik K. Antonsson, Ph.D., P.E.

A propos du livre

Présentation de l'éditeur

This work presents some of the most recent research results that apply fuzzy sets to engineering design and configuration problems. These chapters cover the representation and manipulation of imprecise information during the synthesis of new designs and selection of configurations. The authors utilize the mathematics of fuzzy sets to represent information that has not yet been reduced to precise descriptions. In most cases, the mathematics of probability is also used to represent more traditional stochastic uncertainties such as uncontrolled manufacturing variations, etc. Presentations on fuzzy optimization and AHP methods are also included. These (fuzzy) set-based methods have particular application to concurrent engineering techniques.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2011
• Langue: anglais
• ISBN 10: 1461286360
• ISBN 13: 9781461286363
• Reliure: Broché
• Nombre de pages: 304
• Éditeur: Sebastian Hans-Jürgen, Antonsson Erik K.
• Coordonnées du fabricant: GPSR Kontakt; ProductSafety@springernature.com; ; Tiergartenstr. 17; Heidelberg; 69121; Allemagne