Michael Hanss

Broschiertes Buch

Applied Fuzzy Arithmetic

An Introduction with Engineering Applications

Beschreibung

Applied Fuzzy Arithmetic provides a well-structured compendium that offers both a deeper knowledge about the theory of fuzzy arithmetic and an extensive view on its applications in the engineering sciences, making it a resource for students, researchers, and practical engineers. The first part of the book gives an introduction to the theory of fuzzy arithmetic, which aims to present the subject in a well-organized and comprehensible form. The derivation of fuzzy arithmetic from the original fuzzy set theory and its evolution towards a successful implementation is presented with existing formulations of fuzzy arithmetic included and integrated in the overall context. The second part of the book presents a diversified exposition of the application of fuzzy arithmetic, addressing different areas of the engineering sciences, such as mechanical, geotechnical, biomedical, and control engineering.

Produktdetails

• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-642-06340-4
• Softcover reprint of hardcover 1st edition 2005
• Seitenzahl: 272
• Erscheinungstermin: 14. Oktober 2010
• Englisch
• Abmessung: 235mm x 155mm x 15mm
• Gewicht: 437g
• ISBN-13: 9783642063404
• ISBN-10: 3642063403
• Artikelnr.: 32056215

Rezensionen

From the reviews: "The book is an extensive, systematic and lucidly written treatise on the subject of fuzzy numbers, their processing, and applications. ... Overall, the book brings a comprehensive and timely material on the important topic of processing fuzzy numbers and thus offers an interesting insight into the applied aspects of fuzzy sets." (Witold Pedrycz, Zentralblatt MATH, Vol. 1085, 2006) "This book deals with the application of fuzzy set theory to mechanical engineering. ... the presence of detailed accounts of such applications is a very important feature of this book, likely to attract the interest of mechanical or civil engineers and to bring these methods to their research areas. ... is a noticeable step toward a mature processing of fuzzy intervals, namely, a better understanding of how to correctly handle them and what to do with them in practice." (Didier Dubois, SIAM Review, Vol. 49 (3), 2007)