An Introduction to Fuzzy Set Theory and Fuzzy Logic, Chander Mohan

Автор: Priest Graham
Название: Logic: A Very Short Introduction
ISBN: 0198811705 ISBN-13(EAN): 9780198811701
Издательство: Oxford Academ
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Цена: 10550.00 T
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Описание: Graham Priest shows that formal logic is a powerful, exciting part of modern philosophy - a tool for thinking about everything from the existence of God and the reality of time to paradoxes of probability. Explaining formal logic in simple, non-technical terms, this edition includes new sections on mathematical algorithms, axioms, and proofs.

Автор: James Gareth
Название: An Introduction to Statistical Learning
ISBN: 1461471370 ISBN-13(EAN): 9781461471370
Издательство: Springer
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Цена: 60550.00 T
Наличие на складе: Невозможна поставка.
Описание: This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering.

Автор: Chander Mohan
Название: An Introduction to Fuzzy Set Theory and Fuzzy Logic
ISBN: 9388971019 ISBN-13(EAN): 9789388971010
Издательство: Mare Nostrum (Eurospan)
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Цена: 27720.00 T
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Описание: This book presents the rudiments of fuzzy set theory and fuzzy logic and related topics and their applications in a simple and easy-to-understand manner. Written with a general type of reader in mind, the book avoids the extremes of abstract mathematical proofs as well as specialized technical details of different areas of application. The book is intended to motivate the readers in getting a clear grasp of the basic concepts of the subject and its possible applications. A special feature of the book is that the exercises at the end of each chapter are preceded by a set of short-answer review-type questions. These are intended to help the reader in developing the confidence that he/she has correctly grasped the concepts introduced in the chapter. The book can be used as a text for the study of the topics of fuzzy set theory, fuzzy logic and their possible applications at the undergraduate, graduate and postgraduate students of mathematics, engineering and other disciplines of science, arts and medicine. In this book: Introduction Fuzzy Sets Operations on Fuzzy Sets Fuzzy Numbers Fuzzy Relations and Fuzzy Graphs Fuzzy Functions and Calculus of Fuzzy Functions Measures of Vagueness and Uncertainty Evidence Theory, Possibility Theory and Probability Theory Linguistic Variables, Fuzzy Rules and Fuzzy Propositions Fuzzy Logic and Approximate Reasoning Decision Making in a Fuzzy Environment Construction of Fuzzy Sets and Defuzzification Fuzzy Rules Based Models and Fuzzy Systems Engineering and Other Applications Intutionistic Fuzzy Sets, Rough Sets, Vague Sets and Soft Sets

Автор: Buckley James J., Eslami Esfandiar
Название: An Introduction to Fuzzy Logic and Fuzzy Sets
ISBN: 3790814474 ISBN-13(EAN): 9783790814477
Издательство: Springer
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Цена: 51200.00 T
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Описание: This book is to be the starting point for any curriculum in fuzzy systems in fields like computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications.

Автор: S.N. Sivanandam; S. Sumathi; S. N. Deepa
Название: Introduction to Fuzzy Logic using MATLAB
ISBN: 3642071449 ISBN-13(EAN): 9783642071447
Издательство: Springer
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Цена: 113180.00 T
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Описание: This book provides a broad-ranging, but detailed overview of the basics of Fuzzy Logic. The fundamentals of Fuzzy Logic are discussed in detail, and illustrated with various solved examples. The book also deals with applications of Fuzzy Logic, to help readers more fully understand the concepts involved.

Автор: Ronald R. Yager; Lotfi A. Zadeh
Название: An Introduction to Fuzzy Logic Applications in Intelligent Systems
ISBN: 1461366194 ISBN-13(EAN): 9781461366195
Издательство: Springer
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Цена: 186330.00 T
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Описание: An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook.

Автор: Murray, James D.
Название: Mathematical Biology I. An Introduction
ISBN: 1475777094 ISBN-13(EAN): 9781475777093
Издательство: Springer
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Цена: 65210.00 T
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Описание: Providing an in-depth look at the practical use of math modeling, it features exercises throughout that are drawn from a variety of bioscientific disciplines - population biology, developmental biology, physiology, epidemiology, and evolution, among others.

Автор: Kai-Yuan Cai
Название: Introduction to Fuzzy Reliability
ISBN: 0792397371 ISBN-13(EAN): 9780792397373
Издательство: Springer
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Цена: 186290.00 T
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Описание: Introduction to Fuzzy Reliability treats fuzzy methodology in hardware reliability and software reliability in a relatively systematic manner. Chapter 4 presents the basic theory of profust reliability, whereas Chapter 5 analyzes the profust reliability behavior of a number of engineering systems.

Автор: L. Ljung; R. Palm; Dimiter Driankov; B. Graham; Ha
Название: An Introduction to Fuzzy Control
ISBN: 3540606912 ISBN-13(EAN): 9783540606918
Издательство: Springer
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Цена: 130430.00 T
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Описание: Fuzzy controllers use artificial intelligence techniques with origins in fuzzy logic. This work aims to present formal techniques for the analysis of a fuzzy controller, stating that fuzzy control can be implemented even when no expert knowledge is available.

Автор: Debdas Ghosh; Debjani Chakraborty
Название: An Introduction to Analytical Fuzzy Plane Geometry
ISBN: 3030157210 ISBN-13(EAN): 9783030157210
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book offers a rigorous mathematical analysis of fuzzy geometrical ideas. It demonstrates the use of fuzzy points for interpreting an imprecise location and for representing an imprecise line by a fuzzy line. Further, it shows that a fuzzy circle can be used to represent a circle when its description is not known precisely, and that fuzzy conic sections can be used to describe imprecise conic sections. Moreover, it discusses fundamental notions on fuzzy geometry, including the concepts of fuzzy line segment and fuzzy distance, as well as key fuzzy operations, and includes several diagrams and numerical illustrations to make the topic more understandable. The book fills an important gap in the literature, providing the first comprehensive reference guide on the fuzzy mathematics of imprecise image subsets and imprecise geometrical objects. Mainly intended for researchers active in fuzzy optimization, it also includes chapters relevant for those working on fuzzy image processing and pattern recognition. Furthermore, it is a valuable resource for beginners interested in basic operations on fuzzy numbers, and can be used in university courses on fuzzy geometry, dealing with imprecise locations, imprecise lines, imprecise circles, and imprecise conic sections.

Автор: Morris W. Hirsch
Название: Differential Equations, Dynamical Systems, and an Introduction to Chaos
ISBN: 0123820103 ISBN-13(EAN): 9780123820105
Издательство: Elsevier Science
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Цена: 88690.00 T
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Описание: Suitable for students in the fields of mathematics, science, and engineering, this title provides a theoretical approach to dynamical systems and chaos. It helps them to analyze the types of differential equations that arise in their area of study.

Автор: Blyth Stephen
Название: An Introduction to Quantitative Finance
ISBN: 0199666598 ISBN-13(EAN): 9780199666591
Издательство: Oxford Academ
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Цена: 48040.00 T
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Описание: The quantitative nature of complex financial transactions makes them a fascinating subject area for mathematicians of all types. This book gives an insight into financial engineering while building on introductory probability courses by detailing one of the most fascinating applications of the subject.