# Free eBook Proof Theory for Fuzzy Logics (Applied Logic Series) download

## by Nicola Olivetti,Dov M. Gabbay,George Metcalfe

**ISBN:**1402094086

**Author:**Nicola Olivetti,Dov M. Gabbay,George Metcalfe

**Publisher:**Springer; 2009 edition (December 15, 2008)

**Language:**English

**Pages:**276

**Category:**Math Science

**Subcategory:**Mathematics

**Size MP3:**1959 mb

**Size FLAC:**1412 mb

**Rating:**4.4

**Format:**docx mbr txt rtf

George Metcalfe (Author), Nicola Olivetti (Author), Dov M. Gabbay (Author) & 0 more

George Metcalfe (Author), Nicola Olivetti (Author), Dov M. Gabbay (Author) & 0 more. ISBN-13: 978-1402094088. Proof-theoretic presentations also place fuzzy logics in the broader landscape of non-classical logics, revealing deep relations with other logics studied in Computer Science, Mathematics, and Philosophy. The book builds methodically from the semantic origins of fuzzy logics to proof-theoretic presentations such as Hilbert and Gentzen systems, introducing both theoretical and practical applications of these presentations. Series: Applied Logic Series (Book 36).

Электронная книга "Proof Theory for Fuzzy Logics", George Metcalfe, Nicola Olivetti, Dov M. Gabbay. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Proof Theory for Fuzzy Logics" для чтения в офлайн-режиме.

Proof-theoretic presentations also place fuzzy logics in the broader landscape of non-classical logics, revealing deep relations with other logics studied in Computer Science, Mathematics, and Philosophy.

Proof Theory for Fuzzy Logics (Applied Logic Series, Volume 36). George Metcalfe, Nicola Olivetti, Dov Gabbay. Скачать (pdf, . 8 Mb).

Fuzzy logics are many-valued logics that are well suited to reasoning in the context of vagueness. They provide the basis for the wider field of Fuzzy Logic, encompassing diverse areas such as fuzzy control, fuzzy databases, and fuzzy mathematics. Is the first book on proof theory for fuzzy logics, collecting together in one uniform and coherent presentation previously widely-dispersed results, methods, and applications in this area. Provides a collection of easy-to-implement algorithms for logics widely used in Fuzzy Logic.

George Metcalfe (author), Nicola Olivetti (author), Dov Gabbay (author). This is a pioneering book on proofs for fuzzy logics, well-suited both for logicians who are interested in fuzzy logic and for specialists in expert systems and fuzzy logic applications who want to know more about the applications of proof theory. the present monograph offers a study of proof-theoretically more interesting Gentzen-type calculi for such logics. ISBN 13: 9781402094088. Series: Applied Logic Series 36. File: PDF, . 8 MB.

George Metcalfe, Nicola Olivetti. Fuzzy logics are many-valued logics that are well suited to reasoning in the context of vagueness.

This book focuses on the development and applications of & presentations of fuzzy logics.

Proof Theory for Fuzzy Logics George Metcalfe; Nicola Olivetti; Dov Gabbay Springer 9781402094088 : Fuzzy logics are many-valued logics that are well suited to reasoning in the context of vagu. This book focuses on the development and applications of & presentations of fuzzy logics. Описание: The book offers a comprehensive survey of intuitionistic fuzzy logics.

Fuzzy logics are many-valued logics that are well suited to reasoning in the context of vagueness. They provide the basis for the wider field of Fuzzy Logic, encompassing diverse areas such as fuzzy control, fuzzy databases, and fuzzy mathematics. This book provides an accessible and up-to-date introduction to this fast-growing and increasingly popular area. It focuses in particular on the development and applications of "proof-theoretic" presentations of fuzzy logics; the result of more than ten years of intensive work by researchers in the area, including the authors. In addition to providing alternative elegant presentations of fuzzy logics, proof-theoretic methods are useful for addressing theoretical problems (including key standard completeness results) and developing efficient deduction and decision algorithms. Proof-theoretic presentations also place fuzzy logics in the broader landscape of non-classical logics, revealing deep relations with other logics studied in Computer Science, Mathematics, and Philosophy. The book builds methodically from the semantic origins of fuzzy logics to proof-theoretic presentations such as Hilbert and Gentzen systems, introducing both theoretical and practical applications of these presentations.