Advanced Topics in Fuzzy Graph Theory, John N. Mordeson; Sunil Mathew

Автор: Madhumangal Pal, Sovan Samanta, Anita Pal
Название: Handbook of Research on Advanced Applications of Graph Theory in Modern Society
ISBN: 1522593802 ISBN-13(EAN): 9781522593805
Издательство: Mare Nostrum (Eurospan)
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Цена: 219910.00 T
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Описание: In the world of mathematics and computer science, technological advancements are constantly being researched and applied to ongoing issues. Setbacks in social networking, engineering, and automation are themes that affect everyday life, and researchers have been looking for new techniques in which to solve these challenges. Graph theory is a widely studied topic that is now being applied to real-life problems.

Advanced Applications of Graph Theory in Modern Society is an essential reference source that discusses recent developments on graph theory, as well as its representation in social networks, artificial neural networks, and many complex networks. The book aims to study results that are useful in the fields of robotics and machine learning and will examine different engineering issues that are closely related to fuzzy graph theory. Featuring research on topics such as artificial neural systems and robotics, this book is ideally designed for mathematicians, research scholars, practitioners, professionals, engineers, and students seeking an innovative overview of graphic theory.

Автор: Dariusz Kro?l
Название: Advanced topics in intelligent information and database systems.
ISBN: 3319566598 ISBN-13(EAN): 9783319566597
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book presents recent research in intelligent information and database systems. The carefully selected contributions were initially accepted for presentation as posters at the 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2017) held from to 5 April 2017 in Kanazawa, Japan. While the contributions are of an advanced scientific level, several are accessible for non-expert readers.

The book brings together 47 chapters divided into six main parts:* Part I. From Machine Learning to Data Mining.* Part II. Big Data and Collaborative Decision Support Systems,* Part III.

Computer Vision Analysis, Detection, Tracking and Recognition,* Part IV. Data-Intensive Text Processing,* Part V. Innovations in Web and Internet Technologies, and* Part VI.

New Methods and Applications in Information and Software Engineering. The book is an excellent resource for researchers and those working in algorithmics, artificial and computational intelligence, collaborative systems, decision management and support systems, natural language processing, image and text processing, Internet technologies, and information and software engineering, as well as for students interested in such research areas.

Автор: Rolf T. Nossum
Название: Advanced Topics in Artificial Intelligence
ISBN: 3540506764 ISBN-13(EAN): 9783540506768
Издательство: Springer
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Цена: 65210.00 T
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Автор: Abdul Sattar
Название: Advanced Topics in Artificial Intelligence
ISBN: 3540637974 ISBN-13(EAN): 9783540637974
Издательство: Springer
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Цена: 83850.00 T
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Описание: This volume presents 48 revised full papers selected from a total of 143 submissions. Also included are three keynote talks and one invited paper. Constraint satisfaction and schedulling, distributed AI, evolutionary computing, and knowledge-based systems are among the subjects covered.

Автор: Vladimir Marik; Olga Stepankova; Robert Trappl
Название: Advanced Topics in Artificial Intelligence
ISBN: 3540556818 ISBN-13(EAN): 9783540556817
Издательство: Springer
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Описание: Contains the texts of 26 lectures and contributions to the program of the International Summer School on Advanced Topics in Artificial Intelligence, held in Prague, in July 1992. The conference was organized for those interested in recent developments in both theoretical and applied AI.

Автор: Norman Foo
Название: Advanced Topics in Artificial Intelligence
ISBN: 3540668225 ISBN-13(EAN): 9783540668220
Издательство: Springer
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Цена: 83850.00 T
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Автор: Henri Cohen
Название: Advanced Topics in Computational Number Theory
ISBN: 1461264197 ISBN-13(EAN): 9781461264194
Издательство: Springer
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Цена: 60550.00 T
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Описание: The computation of invariants of algebraic number fields such as integral bases, discriminants, prime decompositions, ideal class groups, and unit groups is important both for its own sake and for its numerous applications, for example, to the solution of Diophantine equations. The practical com- pletion of this task (sometimes known as the Dedekind program) has been one of the major achievements of computational number theory in the past ten years, thanks to the efforts of many people. Even though some practical problems still exist, one can consider the subject as solved in a satisfactory manner, and it is now routine to ask a specialized Computer Algebra Sys- tem such as Kant/Kash, liDIA, Magma, or Pari/GP, to perform number field computations that would have been unfeasible only ten years ago. The (very numerous) algorithms used are essentially all described in A Course in Com- putational Algebraic Number Theory, GTM 138, first published in 1993 (third corrected printing 1996), which is referred to here as CohO]. That text also treats other subjects such as elliptic curves, factoring, and primality testing. Itis important and natural to generalize these algorithms. Several gener- alizations can be considered, but the most important are certainly the gen- eralizations to global function fields (finite extensions of the field of rational functions in one variable overa finite field) and to relative extensions ofnum- ber fields. As in CohO], in the present book we will consider number fields only and not deal at all with function fields.

Автор: Ying Bai; Hanqi Zhuang; Dali Wang
Название: Advanced Fuzzy Logic Technologies in Industrial Applications
ISBN: 1849966060 ISBN-13(EAN): 9781849966061
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book introduces a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs.

Автор: Edwin Lughofer
Название: Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications
ISBN: 3642266924 ISBN-13(EAN): 9783642266928
Издательство: Springer
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Цена: 174130.00 T
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Описание: This book presents several evolving fuzzy systems approaches using real-world application scenarios to underline the usefulness and necessity of evolving fuzzy systems. The text also outlines potential new applications and raises open problems and new challenges.

Автор: Abdellah Benzaouia; Ahmed El Hajjaji
Название: Advanced Takagi?Sugeno Fuzzy Systems
ISBN: 3319056387 ISBN-13(EAN): 9783319056388
Издательство: Springer
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Цена: 149060.00 T
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Автор: Janusz T. Starczewski
Название: Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty
ISBN: 3642448526 ISBN-13(EAN): 9783642448522
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book provides a number of formulae for implementing the operation extended on fuzzy-valued fuzzy sets, presents basic structures of generalized uncertain fuzzy logic systems, and introduces several of methods to generate fuzzy membership uncertainty.

Автор: Abdellah Benzaouia; Ahmed El Hajjaji
Название: Advanced Takagi?Sugeno Fuzzy Systems
ISBN: 3319381555 ISBN-13(EAN): 9783319381558
Издательство: Springer
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Цена: 113180.00 T
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Описание: Introduction to Takagi‒Sugeno Fuzzy Systems.- Stabilization of Fuzzy Systems with Constrained Controls.- Static Output Feedback Control for Fuzzy Systems.- Stabilization of Controlled Positive Discrete-time Takagi‒Sugeno Fuzzy Systems by State Feedback Control.- Delay-Dependent Stabilization Conditions of Controlled Positive Takagi‒Sugeno Fuzzy Systems with Time-Varying Delay.- Stabilization of Positive Takagi‒Sugeno Fuzzy Discrete-Time Systems with Multiple Delays and Bounded Controls.- Robust Control of Takagi‒Sugeno Fuzzy Systems with Time-varying Delay Using New Approach.- Robust Output H1 Fuzzy Control. Stabilization of Two-Dimensional Takagi‒Sugeno Fuzzy Systems by State Feedback Control.- Control of a DC‒DC Converter.