Mathematics of Fuzzy Sets, Ulrich H?hle; S.E. Rodabaugh

Автор: F. William Lawvere
Название: Conceptual Mathematics
ISBN: 052171916X ISBN-13(EAN): 9780521719162
Издательство: Cambridge Academ
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Цена: 7762.00 р.
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Описание: Conceptual Mathematics introduces the concept of category to beginning students and practising mathematical scientists based on a leisurely introduction to the important categories of directed graphs and discrete dynamical systems. The expanded second edition approaches more advanced topics via historical sketches and a concise introduction to adjoint functors.

Автор: F. William Lawvere
Название: Sets for Mathematics
ISBN: 0521010608 ISBN-13(EAN): 9780521010603
Издательство: Cambridge Academ
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Цена: 7762.00 р.
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Описание: In this book, first published in 2003, categorical algebra is used to build a foundation for the study of geometry, analysis, and algebra. Starting with intuitive descriptions of mathematically and physically common phenomena, it leads up to a precise specification of the Category of Sets. Suitable for advanced undergraduates and beginning graduate students.

Автор: Delbaen
Название: The Mathematics of Arbitrage
ISBN: 3540219927 ISBN-13(EAN): 9783540219927
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Presents a mathematical treatment of the theory of pricing and hedging of derivative securities by the principle of no arbitrage. This title consists of seven papers, which analyzes the topic in the general framework of semi-martingale theory.

Автор: Barnabas Bede
Название: Mathematics of Fuzzy Sets and Fuzzy Logic
ISBN: 3642433022 ISBN-13(EAN): 9783642433023
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This mathematically-based introduction to the fascinating topic of Fuzzy Sets and Fuzzy Logic presents a theoretical introduction to Fuzzy Sets based on Mathematical Analysis and Approximation Theory, with well-known applications and advanced topics.

Автор: George A. Anastassiou
Название: Fuzzy Mathematics: Approximation Theory
ISBN: 3642112196 ISBN-13(EAN): 9783642112195
Издательство: Springer
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Цена: 26122.00 р.
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Описание: The theory presented in this book is destined and expected to find applications to all aspects of fuzziness from theoretical to practical in almost all sciences, technology, finance and industry, as well as within pure mathematics.

Автор: Reghis
Название: Classical and Fuzzy Concepts in Mathematical Logic and Applications, Professional Version
ISBN: 0849331978 ISBN-13(EAN): 9780849331978
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание: Presents coverage of the fundamentals of two-valued logic, multivalued logic, and fuzzy logic. Exploring the parallels between classical and fuzzy mathematical logic, this book examines the use of logic in computer science, addresses questions in automatic deduction, and describes efficient computer implementation of proof techniques.

Автор: Barnabas Bede
Название: Mathematics of Fuzzy Sets and Fuzzy Logic
ISBN: 3642352200 ISBN-13(EAN): 9783642352201
Издательство: Springer
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Цена: 22203.00 р.
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Описание: This mathematically-based introduction to the fascinating topic of Fuzzy Sets and Fuzzy Logic presents a theoretical introduction to Fuzzy Sets based on Mathematical Analysis and Approximation Theory, with well-known applications and advanced topics.

Автор: John N. Mordeson; Premchand S. Nair
Название: Fuzzy Mathematics
ISBN: 3790824941 ISBN-13(EAN): 9783790824940
Издательство: Springer
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Цена: 23058.00 р.
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Описание: In the mid-1960`s I had the pleasure of attending a talk by Lotfi Zadeh at which he presented some of his basic (and at the time, recent) work on fuzzy sets. This led to my 1971 paper "Fuzzy groups", which became the starting point of an entire literature on fuzzy algebraic structures.

Автор: James J. Buckley; Esfandiar Eslami; Thomas Feuring
Название: Fuzzy Mathematics in Economics and Engineering
ISBN: 3790825050 ISBN-13(EAN): 9783790825053
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The book aims at surveying results in the application of fuzzy sets and fuzzy logic to economics and engineering. New results include fuzzy non-linear regression, fully fuzzified linear programming, fuzzy multi-period control, fuzzy network analysis, each using an evolutionary algorithm; fuzzy hierarchical analysis using an evolutionary algorithm;