Monte Carlo Methods in Fuzzy Optimization / Studies in Fuzziness and Soft Computing Bd.222 (PDF)
This book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization problems. Various basic applications and illustrative examples are presented in an understandable way. The aim of the book is...
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This book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization problems. Various basic applications and illustrative examples are presented in an understandable way. The aim of the book is to convince the reader that Monte Carlo methods can be useful in generating approximate solutions to fuzzy optimization problems.
- Autoren: James J. Buckley , Leonard J. Jowers
- 2007, 2008, 260 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3540762906
- ISBN-13: 9783540762904
- Erscheinungsdatum: 03.12.2007
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- Dateiformat: PDF
- Größe: 4.03 MB
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- Vorlesefunktion
From the reviews:
"This timely research monograph is a very much needed compendium of recent developments in the methodologies and applications of Monte Carlo fuzzy optimization and fuzzy modeling. ... Overall the writing is lucid and well supported by convincing and highly motivating comments. ... All in all, this is a highly welcome publication which will undoubtedly appeal to the fuzzy set research community." (Witold Pedrycz, Zentralblatt MATH, Vol. 1148, 2008)
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