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Neutrosophic Logic - A Generalization of the Intuitionistic Fuzzy Logic

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Book Synopsis Neutrosophic Logic - A Generalization of the Intuitionistic Fuzzy Logic by : Florentin Smarandache

Download or read book Neutrosophic Logic - A Generalization of the Intuitionistic Fuzzy Logic written by Florentin Smarandache. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: In this paper one generalizes the intuitionistic fuzzy logic (IFL) and other logics to neutrosophic logic (NL). The differences between IFL and NL (and the corresponding intuitionistic fuzzy set and neutrosophic set) are pointed out.

NEUTROSOPHIC SET – A GENERALIZATION OF THE INTUITIONISTIC FUZZY SET

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Book Synopsis NEUTROSOPHIC SET – A GENERALIZATION OF THE INTUITIONISTIC FUZZY SET by : Florentin SMARANDACHE

Download or read book NEUTROSOPHIC SET – A GENERALIZATION OF THE INTUITIONISTIC FUZZY SET written by Florentin SMARANDACHE. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: In this paper one generalizes the intuitionistic fuzzy set (IFS), paraconsistent set, and intuitionistic set to the neutrosophic set (NS). Many examples are presented. Distinctions between NS and IFS are underlined.

Neutrosophic Set - A Generalization of The Intuitionistic Fuzzy Set

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Release : 2010-08-23
Genre : Mathematics
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Book Synopsis Neutrosophic Set - A Generalization of The Intuitionistic Fuzzy Set by : Florentin Smarandache

Download or read book Neutrosophic Set - A Generalization of The Intuitionistic Fuzzy Set written by Florentin Smarandache. This book was released on 2010-08-23. Available in PDF, EPUB and Kindle. Book excerpt: In this paper one generalizes the intuitionistic fuzzy set (IFS), paraconsistent set, and intuitionistic set to the neutrosophic set (NS). Many examples are presented. Distinctions between NS and IFS are underlined.

Interval Neutrosophic Sets and Logic: Theory and Applications in Computing

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Release : 2005
Genre : Mathematics
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Book Rating : 942/5 ( reviews)

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Book Synopsis Interval Neutrosophic Sets and Logic: Theory and Applications in Computing by : Haibin Wang

Download or read book Interval Neutrosophic Sets and Logic: Theory and Applications in Computing written by Haibin Wang. This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the advancements and applications of neutrosophics, which are generalizations of fuzzy logic, fuzzy set, and imprecise probability. The neutrosophic logic, neutrosophic set, neutrosophic probability, and neutrosophic statistics are increasingly used in engineering applications (especially for software and information fusion), medicine, military, cybernetics, physics.In the last chapter a soft semantic Web Services agent framework is proposed to facilitate the registration and discovery of high quality semantic Web Services agent. The intelligent inference engine module of soft semantic Web Services agent is implemented using interval neutrosophic logic.

n-Valued Refined Neutrosophic Logic and Its Applications to Physics

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Book Synopsis n-Valued Refined Neutrosophic Logic and Its Applications to Physics by : Florentin Smarandache

Download or read book n-Valued Refined Neutrosophic Logic and Its Applications to Physics written by Florentin Smarandache. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: In this paper we present a short history of logics: from particular cases of 2-symbol or numerical valued logic to the general case of n-symbol or numerical valued logic. We show generalizations of 2-valued Boolean logic to fuzzy logic, also from the Kleene’s and Lukasiewicz’ 3-symbol valued logics or Belnap’s 4-symbol valued logic to the most general n-symbol or numerical valued refined neutrosophic logic. Two classes of neutrosophic norm (n-norm) and neutrosophic conorm (n-conorm) are defined. Examplesof applications of neutrosophic logic to physics are listed in the last section. Similar generalizations can be done for n-Valued Refined Neutrosophic Set, and respectively n-Valued Refined Neutrosopjhic Probability..

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