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" Fuzzy Mathematics in Economics and Engineering "
by James J. Buckley, Esfandiar Eslami, Thomas Feuring.
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BL
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| Record Number
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578846
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b408065
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| Main Entry
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Buckley, James J.
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| Title & Author
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Fuzzy Mathematics in Economics and Engineering\ by James J. Buckley, Esfandiar Eslami, Thomas Feuring.
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| Publication Statement
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Heidelberg :: Physica-Verlag HD :: Imprint: Physica,, 2002.
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| Series Statement
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Studies in Fuzziness and Soft Computing,; 91
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| ISBN
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9783790817959
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: 9783790825053
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| Contents
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Introduction -- Fuzzy Sets -- Solving Fuzzy Equations -- Fuzzy Mathematics in Finance -- Fuzzy Non-Linear Regression -- Operations Research -- Fuzzy Differential Equations -- Fuzzy Difference Equations -- Fuzzy Partial Differential Equations -- Fuzzy Eigenvalues -- Fuzzy Integral Equations -- Summary and Conclusions -- Appendix: Evolutionary Algorithm.
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| Abstract
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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.
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Economics.
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Artificial intelligence.
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Mathematics.
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Engineering mathematics.
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Economics, Mathematical.
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Operations research.
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Eslami, Esfandiar.
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Feuring, Thomas.
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SpringerLink (Online service)
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