Fuzzy partial differential equations and relational equations : reservior characterization and modelling / Masoud Nikravesh, Lotfi A Zadeh and Victor Korotkikh

By:

Nikravesh, Masoud (ed)

Contributor(s):

Material type: Text

TextSeries: Studies in fuzziness and soft computing ; 142Publication details: Berlin : Springer, 2004Description: xiv, 347p, 23cmISBN:

3540203222

Subject(s):

DDC classification:

511.3223 NIK

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Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Book	Calcutta	511.3223 NIK (Browse shelf(Opens below))	Available		IIMC-121006

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Previous	511.3223 MIY Fuzzy sets in information retrieval and cluster analysis	511.3223 MIY Algorithms for fuzzy clustering :	511.3223 MOL Fuzzy randomness :	511.3223 NIK Fuzzy partial differential equations and relational equations :	511.3223 PAL Rough fuzzy hybridization :	511.3223 PED An Introduction to fuzzy sets :	511.3223 SKA Aspects of vagueness /	Next

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.

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