Fuzzy Mathematics in Economics and Engineering

• Κύριοι συγγραφείς: Buckley, James J. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Eslami, Esfandiar (http://id.loc.gov/vocabulary/relators/aut), Feuring, Thomas (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2002.
• Έκδοση: 1st ed. 2002.
• Σειρά: Studies in Fuzziness and Soft Computing, 91
• Θέματα: Economic theory.; Applied mathematics.; Engineering mathematics.; Discrete mathematics.; Operations research.; Decision making.; Artificial intelligence.; Economic Theory/Quantitative Economics/Mathematical Methods.; Applications of Mathematics.; Discrete Mathematics.; Operations Research/Decision Theory.; Artificial Intelligence.; Mathematical and Computational Engineering.
• Φυσική περιγραφή: XI, 272 p. online resource.
• ISBN: 9783790817959
• ISSN: 1434-9922 ;
• DOI: 10.1007/978-3-7908-1795-9

The book aims at surveying results in the application of fuzzy sets and fuzzy logic to economics and engineering. New results include fuzzy non-linear regression, fully fuzzified linear programming, fuzzy multi-period control, fuzzy network analysis, each using an evolutionary algorithm; fuzzy queuing decision analysis using possibility theory; fuzzy differential equations; fuzzy difference equations; fuzzy partial differential equations; fuzzy eigenvalues based on an evolutionary algorithm; fuzzy hierarchical analysis using an evolutionary algorithm; fuzzy integral equations. Other important topics covered are fuzzy input-output analysis; fuzzy mathematics of finance; fuzzy PERT (project evaluation and review technique). No previous knowledge of fuzzy sets is needed. The mathematical background is assumed to be elementary calculus.