Fuzzy Partial Differential Equations and Relational Equations: Reservoir Characterization and Modeling: Studies in Fuzziness and Soft Computing, cartea 142
Editat de Masoud Nikravesh, Lofti A. Zadeh, Victor Korotkikhen Limba Engleză Hardback – 21 ian 2004
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Specificații
ISBN-13: 9783540203223
ISBN-10: 3540203222
Pagini: 364
Ilustrații: XIV, 347 p.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.65 kg
Ediția:2004
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Fuzziness and Soft Computing
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540203222
Pagini: 364
Ilustrații: XIV, 347 p.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.65 kg
Ediția:2004
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Fuzziness and Soft Computing
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Soft Computing for Reservoir Characterization.- An Approach to the Mathematical Theory of Perception-Based Information.- Fuzzy Neural Networks Based on Fuzzy Logic Algebras Valued Relations.- Simulating Continuous Dynamical Systems under Conditions of Uncertainty: the Probability and the Possibility Approaches.- Resolution of Min-Max Fuzzy Relational Equations.- Fuzzy Relation Equations with Words.- A Normative View on Possibility Distributions.- FREs: the ODEs and PDEs of the Fuzzy Modelling Paradigm.- Equations and Inequalities with BK-Products of Relations.- Decomposition of Fuzzy Relations and Functional Relations.- to Modeling of Hydrogeologic Systems Using Fuzzy Differential Equations.- Construction of Granular Derivatives and Solution of Granular Initial Value Problem.- Numerical Solutions of Fuzzy Partial Differential Equations and Its Applications in Computational Mechanics.
Textul de pe ultima copertă
This monograph presents the latest advances of fuzzy logic and soft computing in reservoir characterization and modeling. It proposes for the first time that future develoments require perception-based information processing. The book presents important steps in this direction by introducing fuzzy partial differential equations and relational equations. It provides a unique opportunity for soft computing researchers and oil industry practitioners to understand the significance of the changes in the fields by presenting recent accomplishments and new directions.
Caracteristici
Proposing new directions for future developments in reservoir characterization and modeling Unique opportunity for soft computing researchers and oil industry practitioners to understand the significance of fuzzy partial differential equations and relational equations for their fields Includes supplementary material: sn.pub/extras