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Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach, Bilal M. Ayyub; Madan M. Gupta



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Цена: 30611р.
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Автор: Bilal M. Ayyub; Madan M. Gupta
Название:  Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
ISBN: 9781461375005
Издательство: Springer
Классификация:
ISBN-10: 1461375002
Обложка/Формат: Paperback
Страницы: 371
Вес: 0.557 кг.
Дата издания: 26.10.2012
Серия: International Series in Intelligent Technologies
Язык: English
Размер: 234 x 156 x 21
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The problem of modeling uncertainty adequately has become more important the more complex systems have become, the faster the scientific and engineering world develops, and the more important, but also more difficult, forecasting of future states of systems have become.


Fuzzy Sets in Decision Analysis, Operations Research and Statistics

Автор: Roman Slowi?ski
Название: Fuzzy Sets in Decision Analysis, Operations Research and Statistics
ISBN: 1461375835 ISBN-13(EAN): 9781461375838
Издательство: Springer
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Цена: 30611 р.
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Описание: Fuzzy Sets in Decision Analysis, Operations Research and Statistics includes chapters on fuzzy preference modeling, multiple criteria analysis, ranking and sorting methods, group decision-making and fuzzy game theory.

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach

Автор: Bilal M. Ayyub; Madan M. Gupta
Название: Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
ISBN: 0792380304 ISBN-13(EAN): 9780792380306
Издательство: Springer
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Цена: 44236 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This text examines the use of analytical tools developed for studying uncertainty analysis in engineering, control systems, and the sciences. It is the work of 38 contributors who have each written chapters on developed analytical methods and have applied them to uncertainty phenomena.

Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty

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: 22886 р.
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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.

Linguistic Fuzzy Logic Methods in Social Sciences

Автор: Badredine Arfi
Название: Linguistic Fuzzy Logic Methods in Social Sciences
ISBN: 3642133428 ISBN-13(EAN): 9783642133428
Издательство: Springer
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Цена: 22886 р.
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Описание: This book presents linguistic fuzzy logic methods applied to social sciences. It presents an approach to the analysis of decision making processes, strategic interactions, causality, and data analysis in social sciences.

Linguistic Fuzzy Logic Methods in Social Sciences

Автор: Badredine Arfi
Название: Linguistic Fuzzy Logic Methods in Social Sciences
ISBN: 3642422373 ISBN-13(EAN): 9783642422379
Издательство: Springer
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Цена: 21455 р.
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Описание: This book presents linguistic fuzzy logic methods applied to social sciences. It presents an approach to the analysis of decision making processes, strategic interactions, causality, and data analysis in social sciences.

Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems

Автор: Zeungnam Bien; K.C. Min
Название: Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems
ISBN: 9401065438 ISBN-13(EAN): 9789401065436
Издательство: Springer
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Цена: 13315 р.
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Описание: Fuzzy Logic and its Applications... covers a wide range of the theory and applications of fuzzy logic and related systems, including industrial applications of fuzzy technology, implementing human intelligence in machines and systems.

Computing Statistics under Interval and Fuzzy Uncertainty

Автор: Hung T. Nguyen; Vladik Kreinovich; Berlin Wu; Gang
Название: Computing Statistics under Interval and Fuzzy Uncertainty
ISBN: 3642445705 ISBN-13(EAN): 9783642445705
Издательство: Springer
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Цена: 25747 р.
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Описание: if the measured value is 1.0, and inaccuracy is bounded by 0.1, then the actual (unknown) value of the quantity can be anywhere between 1.0 - 0.1 = 0.9 and 1.0 + 0.1 = 1.1.

Fuzzy Cognitive Maps for Applied Sciences and Engineering

Автор: Elpiniki I. Papageorgiou
Название: Fuzzy Cognitive Maps for Applied Sciences and Engineering
ISBN: 3662522144 ISBN-13(EAN): 9783662522141
Издательство: Springer
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Цена: 19897 р.
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Описание: Methods and Algorithms for Fuzzy Cognitive Map-based Modeling.- Fuzzy Cognitive Maps as representations of mental models and group beliefs.- FCM Relationship Modeling for Engineering Systems.- Using RuleML for Representing and Prolog for Simulating Fuzzy Cognitive Maps.- Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management.- Decision Making by Rule-Based Fuzzy Cognitive Maps: An Approach to Implement Student-Centered Education.- Extended Evolutionary Learning of Fuzzy Cognitive Maps for the Prediction of Multivariate Time-Series.- Synthesis and Analysis of Multi-Step Algorithms of Fuzzy Cognitive Maps Learning.- Designing and Training Relational Fuzzy Cognitive Maps.- Cooperative Autonomous Agents Based On Dynamical Fuzzy Cognitive Maps.- FCM-GUI: A graphical user interface for Big Bang-Big.- Crunch Learning for FCM and Evaluation.- JFCM - A Java library for Fuzzy Cognitive Maps.- Use and evaluation of FCM as a tool for long term socio ecological research.- Application of Fuzzy Grey Cognitive Maps for process problems in industry Papageorgiou.- Use and Perspectives of Fuzzy Cognitive Maps in Robotics.- Fuzzy Cognitive Maps for Structural Damage Detection.- Fuzzy cognitive strategic maps for business management.- The Complex Nature of Migration at a Conceptual Level.- Overlook to the Internal Migration Experience in Gebze through Fuzzy Cognitive Mapping Method.- Understanding Public Participation and Combining Perceptions of Stakeholders' for a Better Management in Danube Delta Biosphere Reserve.- Employing Fuzzy Cognitive Map for Periodontal Disease Assessment.

Modeling Uncertainty with Fuzzy Logic

Автор: Asli Celikyilmaz; I. Burhan T?rksen
Название: Modeling Uncertainty with Fuzzy Logic
ISBN: 3642100635 ISBN-13(EAN): 9783642100635
Издательство: Springer
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Цена: 29846 р.
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Описание: This book presents an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions". It also reviews standard tools of fuzzy system modeling approaches to demonstrate the novelty of the structurally different fuzzy function.

Fuzzy Logic Applications in Engineering Science

Автор: J. Harris
Название: Fuzzy Logic Applications in Engineering Science
ISBN: 9048170346 ISBN-13(EAN): 9789048170340
Издательство: Springer
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Цена: 21455 р.
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Описание:

Fuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a conceptual process applied in the field of risk management. Its potential applicability is much wider than that, however, and its particular suitability for expanding our understanding of processes and information in science and engineering in our post-modern world is only just beginning to be appreciated.

Written as a companion text to the author's earlier volume "An Introduction to Fuzzy Logic Applications", the book is aimed at professional engineers and students and those with an interest in exploring the potential of fuzzy logic as an information processing kit with a wide variety of practical applications in the field of engineering science and develops themes and topics introduced in the author's earlier text.

Neural Network Data Analysis Using Simulnet™

Автор: Edward J. Rzempoluck
Название: Neural Network Data Analysis Using Simulnet™
ISBN: 1461272629 ISBN-13(EAN): 9781461272625
Издательство: Springer
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Цена: 7652 р.
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Описание: It presents an introduction to the analysis of data using neural network functions such as multilayer feed-forward networks using error back propagation, genetic algorithm-neural network hybrids, generalised regression neural networks, learning quantizer networks, and self-organising feature maps.

Fuzzy Logic in Financial Analysis

Автор: Anna Maria Gil-Lafuente
Название: Fuzzy Logic in Financial Analysis
ISBN: 3642062210 ISBN-13(EAN): 9783642062216
Издательство: Springer
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Цена: 33521 р.
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Описание: In today`s increasingly complex and uncertain business environment, financial analysis is yet more critical to business managers who tackle problems of an economic or business nature.


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