2001, ISBN: 0792369416

[EAN: 9780792369417], Nouveau livre, [SC: 10.99], [PU: Springer Netherlands], INTELLIGENZ / KÜNSTLICHE INTELLIGENZ; KI; - AI; LOGIK; PHILOSOPHIE EXTENSION; ABSTRACTARTIFICIALINTELLIGENCE;… Meer...

[EAN: 9780792369417], Nouveau livre, [SC: 10.99], [PU: Springer Netherlands], INTELLIGENZ / KÜNSTLICHE INTELLIGENZ; KI; - AI; LOGIK; PHILOSOPHIE EXTENSION; ABSTRACTARTIFICIALINTELLIGENCE; CONTROL; FORMALFUZZYCONTROL; FUZZYLOGIC; INTELLIGENCE; LOGIC; PHILOSOPHY, Druck auf Anfrage Neuware - Printed after ordering - Fuzzy logic in narrow sense is a promising new chapter of formal logic whose basic ideas were formulated by Lotfi Zadeh (see Zadeh [1975]a). The aim of this theory is to formalize the 'approximate reasoning' we use in everyday life, the object of investigation being the human aptitude to manage vague properties (as, for example, 'beautiful', 'small', 'plausible', 'believable', etc. ) that by their own nature can be satisfied to a degree different from 0 (false) and I (true). It is worth noting that the traditional deductive framework in many-valued logic is different from the one adopted in this book for fuzzy logic: in the former logics one always uses a 'crisp' deduction apparatus, producing crisp sets of formulas, the formulas that are considered logically valid. By contrast, fuzzy logical deductive machinery is devised to produce a fuzzy set of formulas (the theorems) from a fuzzy set of formulas (the hypotheses). Approximate reasoning has generated a very interesting literature in recent years. However, in spite of several basic results, in our opinion, we are still far from a satisfactory setting of this very hard and mysterious subject. The aim of this book is to furnish some theoretical devices and to sketch a general framework for fuzzy logic. This is also in accordance with the non Fregean attitude of the book., Books<

2001, ISBN: 9780792369417

Gebunden, 288 Seiten, 241mm x 160mm x 22mm, Sprache(n): eng Fuzzy logic in narrow sense is a promising new chapter of formal logic whose basic ideas were formulated by Lotfi Zadeh (see Za… Meer...

Gebunden, 288 Seiten, 241mm x 160mm x 22mm, Sprache(n): eng Fuzzy logic in narrow sense is a promising new chapter of formal logic whose basic ideas were formulated by Lotfi Zadeh (see Zadeh [1975]a). The aim of this theory is to formalize the "approximate reasoning" we use in everyday life, the object of investigation being the human aptitude to manage vague properties (as, for example, "beautiful", "small", "plausible", "believable", etc. ) that by their own nature can be satisfied to a degree different from 0 (false) and I (true). It is worth noting that the traditional deductive framework in many-valued logic is different from the one adopted in this book for fuzzy logic: in the former logics one always uses a "crisp" deduction apparatus, producing crisp sets of formulas, the formulas that are considered logically valid. By contrast, fuzzy logical deductive machinery is devised to produce a fuzzy set of formulas (the theorems) from a fuzzy set of formulas (the hypotheses). Approximate reasoning has generated a very interesting literature in recent years. However, in spite of several basic results, in our opinion, we are still far from a satisfactory setting of this very hard and mysterious subject. The aim of this book is to furnish some theoretical devices and to sketch a general framework for fuzzy logic. This is also in accordance with the non­ Fregean attitude of the book. Versandkostenfreie Lieferung extension, abstractArtificialIntelligence, Control, formalfuzzycontrol, fuzzylogic, intelligence, logic, philosophy, Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Logik, Philosophie / Logik, [PU: Kluwer Academic Publishers]<

ISBN: 9780792369417

Fuzzy logic in narrow sense is a promising new chapter of formal logic whose basic ideas were formulated by Lotfi Zadeh (see Zadeh [1975]a). The aim of this theory is to formalize the "ap… Meer...

Fuzzy logic in narrow sense is a promising new chapter of formal logic whose basic ideas were formulated by Lotfi Zadeh (see Zadeh [1975]a). The aim of this theory is to formalize the "approximate reasoning" we use in everyday life, the object of investigation being the human aptitude to manage vague properties (as, for example, "beautiful", "small", "plausible", "believable", etc. ) that by their own nature can be satisfied to a degree different from 0 (false) and I (true). It is worth noting that the traditional deductive framework in many-valued logic is different from the one adopted in this book for fuzzy logic: in the former logics one always uses a "crisp" deduction apparatus, producing crisp sets of formulas, the formulas that are considered logically valid. By contrast, fuzzy logical deductive machinery is devised to produce a fuzzy set of formulas (the theorems) from a fuzzy set of formulas (the hypotheses). Approximate reasoning has generated a very interesting literature in recent years. However, in spite of several basic results, in our opinion, we are still far from a satisfactory setting of this very hard and mysterious subject. The aim of this book is to furnish some theoretical devices and to sketch a general framework for fuzzy logic. This is also in accordance with the non­ Fregean attitude of the book., Springer<

ISBN: 9780792369417

The theme of this book is fuzzy logic in a narrow sense, a promising n ew chapter of fuzzy logic. The basic ideas of formal logic were formul ated by Lotfi Zadeh in 1975. The aim of this … Meer...

The theme of this book is fuzzy logic in a narrow sense, a promising n ew chapter of fuzzy logic. The basic ideas of formal logic were formul ated by Lotfi Zadeh in 1975. The aim of this logic is to investigate t he wonderful human capacity of reasoning with vague notions by attempt ing to formalize the 'approximate reasoning' we use in everyday life. A peculiarity of this book is to propose a general framework based on three mathematical tools: the theory of fuzzy closure operators, an ex tension principle for crisp logics and the theory of recursively enume rable fuzzy subsets. This book is unique in that it treats fuzzy logic s which are not truth-functional in nature (as an example, the logic o f the necessities, probabilistic logics and similarity-based logics). The book is addressed to people interested in artificial intelligence, fuzzy control, formal logic, and philosophy. It can be used in specia l post-graduate university studies and in advanced courses. The book i s completely self-contained. New Textbooks>Hardcover>Science>Mathematics>Mathematics, Springer Netherlands Core >2 >T<