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Fuzzy Mathematics in Economics and Engineering: Studies in Fuzziness and Soft Computing, cartea 91

Autor James J. Buckley, Esfandiar Eslami, Thomas Feuring
en Limba Engleză Hardback – 26 feb 2002
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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Specificații

ISBN-13: 9783790814569
ISBN-10: 3790814563
Pagini: 288
Ilustrații: XI, 272 p.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.54 kg
Ediția:2002
Editura: Physica-Verlag HD
Colecția Physica
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Heidelberg, Germany

Public țintă

Research

Cuprins

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.- Evolutionary Algorithms.

Textul de pe ultima copertă

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.

Caracteristici

Introduction into fuzzy sets and fuzzy logic for economists and engineers Only elementary mathematical background required Extensive survey with suggestions for future research Includes supplementary material: sn.pub/extras