Optimal Models and Methods with Fuzzy Quantities

Author:   Bing-Yuan Cao
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2010 ed.
Volume:   248
ISBN:  

9783642262487


Pages:   350
Publication Date:   04 May 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Optimal Models and Methods with Fuzzy Quantities


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Overview

I originated a submission titled ""Fuzzy Geometric Programming"" for the Proceeding of the Second International Fuzzy Systems Association (IFSA) Congress (Tokyo) in 1987, and later published through rigorous selection in Fuzzy Sets and Systems. In 1989, I brought up""Study on non-distinct se- regression forecast model"" for discussion by using Zadeh's theory on fuzzy sets. From then on, I have done researches on an optimal model with fuzzy informationquantities. In the book,Iregardthe modelwith fuzzy quantities, including fuzzy coe?cients and fuzzy variables, as a main line, introducing the molding of various problems and their practical examples, completely and clearly, in some ?elds. Many of my papers are indexed in SCI (Science Citation Index), EI (Engineering Index) and ISTP (Index to Scienti?c & Technical Proceedings), commented or extracted in American Mathematical Reviews and Zentralblatt Math. The researching and writing have been funded by the National Na- ral Science Foundation of China for three times (1997, 2003, 2008). At the same time, it is supported by the Science and Technology Project of - nan Province, the Science Research Foundation of Changsha Electric Power University,""211 Project""Foundation of Shantou University and Li Ka-Shing Science Development Foundation of Shantou University, and Scienti?c - search Foundation of Guangzhou University. The research project won the ThirdAwardofGuangdongScienceandTechnologyAwardedbytheGove- ment of Guangdong Province (2005) and Third Award of Excellent Papers in Natural Science by it (2003), successively. The book contains ten chapters as follows: Chapter 1. Prepare Knowledge; Chapter2. RegressionandSelf-regressionModelswith FuzzyCoe?cients; Chapter 3.

Full Product Details

Author:   Bing-Yuan Cao
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2010 ed.
Volume:   248
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   0.599kg
ISBN:  

9783642262487


ISBN 10:   3642262481
Pages:   350
Publication Date:   04 May 2012
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

From the reviews: Fuzzy modeling and fuzzy optimization come with a significant diversity expressed in terms of the underlying concepts, methodologies, and algorithms. The book consists of 10 chapters and naturally splits into six parts. ... Overall, the book is an interesting and useful reading exploring the wealth and capabilities of fuzzy sets in the framework of system modeling and system optimization. (Witold Pedrycz, Zentralblatt MATH, Vol. 1196, 2010)


"From the reviews: ""Fuzzy modeling and fuzzy optimization come with a significant diversity expressed in terms of the underlying concepts, methodologies, and algorithms. The book consists of 10 chapters and naturally splits into six parts. ... Overall, the book is an interesting and useful reading exploring the wealth and capabilities of fuzzy sets in the framework of system modeling and system optimization."" (Witold Pedrycz, Zentralblatt MATH, Vol. 1196, 2010)"


From the reviews: Fuzzy modeling and fuzzy optimization come with a significant diversity expressed in terms of the underlying concepts, methodologies, and algorithms. The book consists of 10 chapters and naturally splits into six parts. Overall, the book is an interesting and useful reading exploring the wealth and capabilities of fuzzy sets in the framework of system modeling and system optimization. (Witold Pedrycz, Zentralblatt MATH, Vol. 1196, 2010)


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