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Fuzzy Logic of Quasi-Truth: An Algebraic Treatment (Hardcover, 1st ed. 2016) Loot Price: R2,789
Discovery Miles 27 890
Fuzzy Logic of Quasi-Truth: An Algebraic Treatment (Hardcover, 1st ed. 2016): Antonio Di Nola, Revaz Grigolia, Esko Turunen

Fuzzy Logic of Quasi-Truth: An Algebraic Treatment (Hardcover, 1st ed. 2016)

Antonio Di Nola, Revaz Grigolia, Esko Turunen

Series: Studies in Fuzziness and Soft Computing, 338

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This book presents the first algebraic treatment of quasi-truth fuzzy logic and covers the algebraic foundations of many-valued logic. It offers a comprehensive account of basic techniques and reports on important results showing the pivotal role played by perfect many-valued algebras (MV-algebras). It is well known that the first-order predicate Lukasiewicz logic is not complete with respect to the canonical set of truth values. However, it is complete with respect to all linearly ordered MV -algebras. As there are no simple linearly ordered MV-algebras in this case, infinitesimal elements of an MV-algebra are allowed to be truth values. The book presents perfect algebras as an interesting subclass of local MV-algebras and provides readers with the necessary knowledge and tools for formalizing the fuzzy concept of quasi true and quasi false. All basic concepts are introduced in detail to promote a better understanding of the more complex ones. It is an advanced and inspiring reference-guide for graduate students and researchers in the field of non-classical many-valued logics.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Studies in Fuzziness and Soft Computing, 338
Release date: March 2016
First published: 2016
Authors: Antonio Di Nola • Revaz Grigolia • Esko Turunen
Dimensions: 235 x 155 x 15mm (L x W x T)
Format: Hardcover
Pages: 116
Edition: 1st ed. 2016
ISBN-13: 978-3-319-30404-5
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Mathematical foundations > Mathematical logic
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-319-30404-6
Barcode: 9783319304045

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