Band 248
Optimal Models and Methods with Fuzzy Quantities
Aus der Reihe
Studies in Fuzziness and Soft Computing
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- Hardcover
- Taschenbuch ausgewählt
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Sprache:Englisch
145,99 €
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Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
04.05.2012
Abbildungen
26 illus., schwarz-weiss Illustrationen
Verlag
Springer BerlinSeitenzahl
350
Maße (L/B/H)
23,5/15,5/2,2 cm
Gewicht
593 g
Auflage
2010
Sprache
Englisch
ISBN
978-3-642-26248-7
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.
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