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Lattice-Valued Logic - An Alternative Approach to Treat Fuzziness and Incomparability (Hardcover, 2003 ed.): Yang Xu, Da Ruan,... Lattice-Valued Logic - An Alternative Approach to Treat Fuzziness and Incomparability (Hardcover, 2003 ed.)
Yang Xu, Da Ruan, Keyun Qin, Jun Liu
R4,235 Discovery Miles 42 350 Ships in 18 - 22 working days

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.

Lattice-Valued Logic - An Alternative Approach to Treat Fuzziness and Incomparability (Paperback, Softcover reprint of... Lattice-Valued Logic - An Alternative Approach to Treat Fuzziness and Incomparability (Paperback, Softcover reprint of hardcover 1st ed. 2003)
Yang Xu, Da Ruan, Keyun Qin, Jun Liu
R4,043 Discovery Miles 40 430 Ships in 18 - 22 working days

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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