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Fuzzy logic: Artificial Neural Network, Cloud Computing, Complexity, Control System, Expert System, Fuzzy Concept, Fuzzy Control System, Fuzzy Mathematics, Fuzzy Set, Rough Set, Type-2 Fuzzy Sets and Systems -

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2026-03-21
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online.Fuzzy logic is a form of multi-valued logic derived from fuzzy set theory to deal with reasoning that is approximate rather than precise. In contrast with "crisp logic", where binary sets have binary logic, the fuzzy logic variables may have a membership value of not only 0 or 1 tha ... Visas aprašymas

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online.Fuzzy logic is a form of multi-valued logic derived from fuzzy set theory to deal with reasoning that is approximate rather than precise. In contrast with "crisp logic", where binary sets have binary logic, the fuzzy logic variables may have a membership value of not only 0 or 1 that is, the degree of truth of a statement can range between 0 and 1 and is not constrained to the two truth values of classic propositional logic. Furthermore, when linguistic variables are used, these degrees may be managed by specific functions. Fuzzy logic emerged as a consequence of the 1965 proposal of fuzzy set theory by Lotfi Zadeh. Though fuzzy logic has been applied to many fields, from control theory to artificial intelligence, it still remains controversial among most statisticians, who prefer Bayesian logic, and some control engineers, who prefer traditional two-valued logic.

Daugiau informacijos

Leidėjas OmniScriptum
Išleidimo metai 2026
Viršelio tipas Minkšti viršeliai
EAN 9786130213466
Parašykite savo atsiliepimą
Jūs peržiūrėjote: Fuzzy logic: Artificial Neural Network, Cloud Computing, Complexity, Control System, Expert System, Fuzzy Concept, Fuzzy Control System, Fuzzy Mathematics, Fuzzy Set, Rough Set, Type-2 Fuzzy Sets and Systems
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168,40 € 224,53 €