Lattice-Valued Logic: An Alternative Approach to Treat Fuzziness and Incomparability (Studies in Fuzziness and Soft Computing, 132)
Description:
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.
Best prices to buy, sell, or rent ISBN 9783540401759
Frequently Asked Questions about Lattice-Valued Logic: An Alternative Approach to Treat Fuzziness and Incomparability (Studies in Fuzziness and Soft Computing, 132)
The price for the book starts from $147.12 on Amazon and is available from 9 sellers at the moment.
If you’re interested in selling back the Lattice-Valued Logic: An Alternative Approach to Treat Fuzziness and Incomparability (Studies in Fuzziness and Soft Computing, 132) book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.
As for the Lattice-Valued Logic: An Alternative Approach to Treat Fuzziness and Incomparability (Studies in Fuzziness and Soft Computing, 132) book, the best buyback offer comes from and is $ for the book in good condition.
The Lattice-Valued Logic: An Alternative Approach to Treat Fuzziness and Incomparability (Studies in Fuzziness and Soft Computing, 132) book is in very low demand now as the rank for the book is 11,685,668 at the moment. A rank of 1,000,000 means the last copy sold approximately a month ago.
Not enough insights yet.