Lattice-Valued Logic: An Alternative Approach to Treat Fuzziness and Incomparability (Studies in Fuzziness and Soft Computing (132))

Xu, Yang, Ruan, Da, Qin, Keyun, Liu, Jun

ISBN 10: 3642072798 ISBN 13: 9783642072796

Editorial: Springer, 2010

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo

Lattice-Valued Logic: An Alternative Approach to Treat Fuzziness and Incomparability (Studies in Fuzziness and Soft Computing (132))

Editor

Springer

Fecha de publicaci�n

2010

Idioma

Ingl�s

ISBN 10

3642072798

ISBN 13

9783642072796

Encuadernaci�n

Paperback

Estado

Like New

Tipo de libro

book

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Sinopsis

Lattice-valued Logic aims at establishing the logical foundation for uncertain information processing routinely performed by humans and artificial intelligence systems. In this textbook for the first time a general introduction on lattice-valued logic is given. It systematically summarizes research from the basic notions up to recent results on lattice implication algebras, lattice-valued logic systems based on lattice implication algebras, as well as the corresponding reasoning theories and methods. The book provides the suitable theoretical logical background of lattice-valued logic systems and supports newly designed intelligent uncertain-information-processing systems and a wide spectrum of intelligent learning tasks.

De la contraportada

Lattice-valued logic aims at establishing the logical foundation for uncertain information processing routinely performed by humans and artificial intelligence systems. In this textbook for the first time a general introduction on lattice-valued logic is given. It systematically summarizes research from the basic notions up to recent results on lattice implication algebras, lattice-valued logic systems based on lattice implication algebras, as well as the corresponding reasoning theories and methods. The book provides the suitable theoretical logical background of lattice-valued logic systems and supports newly designed intelligent uncertain-information-processing systems and a wide spectrum of intelligent learning tasks.

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