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Integrated Uncertainty in Knowledge Modelling and Decision Making, Hirosato Seki; Canh Hao Nguyen; Van-Nam Huynh; Mas


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Автор: Hirosato Seki; Canh Hao Nguyen; Van-Nam Huynh; Mas
Название:  Integrated Uncertainty in Knowledge Modelling and Decision Making
ISBN: 9783030148140
Издательство: Springer
Классификация:





ISBN-10: 3030148149
Обложка/Формат: Soft cover
Страницы: 444
Вес: 0.71 кг.
Дата издания: 2019
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 84 illustrations, color; 76 illustrations, black and white; xx, 444 p. 160 illus., 84 illus. in color.
Размер: 234 x 156 x 24
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 7th International Symposium, IUKM 2019, Nara, Japan, March 27–29, 2019, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2019, held in Nara, Japan, in March 2019. The 37 revised full papers presented were carefully reviewed and selected from 93 submissions.


Innovations in Wave Processes Modelling and Decision Making

Автор: Favorskaya
Название: Innovations in Wave Processes Modelling and Decision Making
ISBN: 3319762001 ISBN-13(EAN): 9783319762005
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents methods for full-wave computer simulation that can be used in various applications and contexts, e.g. seismic prospecting, earthquake stability, global seismic patterns on Earth and Mars, medicine, traumatology, ultrasound investigation of the human body, ultrasound and laser operations, ultrasonic non-destructive railway testing, modelling aircraft composites, modelling composite material delamination, etc. The key innovation of this approach is the ability to study spatial dynamical wave processes, which is made possible by cutting-edge numerical finite-difference grid-characteristic methods.The book will benefit all students, researchers, practitioners and professors interested in numerical mathematics, computer science, computer simulation, high-performance computer systems, unstructured meshes, interpolation, seismic prospecting, geophysics, medicine, non-destructive testing and composite materials.

Integrated Uncertainty in Knowledge Modelling and Decision Making

Автор: Van-Nam Huynh; Masahiro Inuiguchi; Bac Le; Nguyen
Название: Integrated Uncertainty in Knowledge Modelling and Decision Making
ISBN: 3319490451 ISBN-13(EAN): 9783319490458
Издательство: Springer
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Цена: 12578.00 р.
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Описание: This book constitutes the refereed proceedings of the 5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2016, held in Da Nang, Vietnam, in November/December 2016.

The IUKM symposia aim to provide a forum for exchanges of research results and ideas, and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.
Integrated Uncertainty in Knowledge Modelling and Decision Making

Автор: Zengchang Qin; Van-Nam Huynh
Название: Integrated Uncertainty in Knowledge Modelling and Decision Making
ISBN: 3642395147 ISBN-13(EAN): 9783642395147
Издательство: Springer
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Цена: 6429.00 р.
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Описание: This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.

Integrated Uncertainty in Knowledge Modelling and Decision Making

Автор: Huynh
Название: Integrated Uncertainty in Knowledge Modelling and Decision Making
ISBN: 3319754289 ISBN-13(EAN): 9783319754284
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2018, held in Hanoi, Vietnam, in March 2018.The 39 revised full papers presented in this book were carefully reviewed and selected from 76 initial submissions.

Decision Making: Uncertainty, Imperfection, Deliberation and Scalability

Автор: Tatiana V. Guy; Miroslav K?rn?; David H. Wolpert
Название: Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
ISBN: 3319151436 ISBN-13(EAN): 9783319151434
Издательство: Springer
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Цена: 15372.00 р.
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Описание:

Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems.- Designing Societies of Robots.- On the Origins of Imperfection and Apparent Non-Rationality.- Lasso Granger Causal Models: Some Strategies and their Efficiency for Gene Expression Regulatory Networks.- Cooperative Feature Selection in Personalized Medicine.- Imperfect Decision Making and Risk Taking are affected by Personality.

Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications

Автор: Krassimir T. Atanassov; Janusz Kacprzyk; Andrzej K
Название: Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications
ISBN: 3319655442 ISBN-13(EAN): 9783319655444
Издательство: Springer
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Цена: 27950.00 р.
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Описание: and the Fifteenth International Workshop on Intuitionistic Fuzzy Sets and General Nets, IWIFSGN-2016, one of the foremost conferences on fuzzy logic, notably addressing extensions of the traditional fuzzy sets, as well as the Generalized Nets (GNs), a powerful extension of the traditional Petri net paradigm.

Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity

Автор: Joe Lorkowski; Vladik Kreinovich
Название: Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity
ISBN: 3319622137 ISBN-13(EAN): 9783319622132
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Human Decisions Are Often Suboptimal: Phenomenon of Bounded Rationality.- Towards Explaining Other Aspects of Human Decision Making.- Towards Explaining Heuristic Techniques (Such as Fuzzy) in Expert Decision Making.- Decision Making Under Uncertainty and Restrictions on Computation Resources: From Heuristic to Optimal Techniques.- Conclusions and Future Work.

Decision Making: Uncertainty, Imperfection, Deliberation and Scalability

Автор: Tatiana V. Guy; Miroslav K?rn?; David H. Wolpert
Название: Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
ISBN: 331935020X ISBN-13(EAN): 9783319350202
Издательство: Springer
Рейтинг:
Цена: 14365.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems.- Designing Societies of Robots.- On the Origins of Imperfection and Apparent Non-Rationality.- Lasso Granger Causal Models: Some Strategies and their Efficiency for Gene Expression Regulatory Networks.- Cooperative Feature Selection in Personalized Medicine.- Imperfect Decision Making and Risk Taking are affected by Personality.

Decision Making Under Uncertainty

Автор: Claude Greengard; Andrzej Ruszczynski
Название: Decision Making Under Uncertainty
ISBN: 1441930140 ISBN-13(EAN): 9781441930149
Издательство: Springer
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Цена: 21661.00 р.
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Описание: In the ideal world, major decisions would be made based on complete and reliable information available to the decision maker. The volume contains articles on model problems of decision making process in the energy and power industry when the available information is noisy and/or incomplete.

Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity

Автор: Joe Lorkowski; Vladik Kreinovich
Название: Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity
ISBN: 3319872605 ISBN-13(EAN): 9783319872605
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

This book addresses an intriguing question: are our decisions rational? It explains seemingly irrational human decision-making behavior by taking into account our limited ability to process information. It also shows with several examples that optimization under granularity restriction leads to observed human decision-making. Drawing on the Nobel-prize-winning studies by Kahneman and Tversky, researchers have found many examples of seemingly irrational decisions: e.g., we overestimate the probability of rare events.Our explanation is that since human abilities to process information are limited, we operate not with the exact values of relevant quantities, but with “granules” that contain these values. We show that optimization under such granularity indeed leads to observed human behavior. In particular, for the first time, we explain the mysterious empirical dependence of betting odds on actual probabilities.This book can be recommended to all students interested in human decision-making, to researchers whose work involves human decisions, and to practitioners who design and employ systems involving human decision-making —so that they can better utilize our ability to make decisions under uncertainty.
Decision Making with Uncertainty in Stormwater Pollutant Processes

Автор: Buddhi Wijesiri; An Liu; Prasanna Egodawatta; Jame
Название: Decision Making with Uncertainty in Stormwater Pollutant Processes
ISBN: 9811335060 ISBN-13(EAN): 9789811335068
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book presents new findings on intrinsic variability in pollutant build-up and wash-off processes by identifying the characteristics of underlying process mechanisms, based on the behaviour of various-sized particles. The correlation between build-up and wash-off processes is clearly defined using heavy metal pollutants as a case study. The outcome of this study is an approach developed to quantitatively assess process uncertainty, which makes it possible to mathematically incorporate the characteristics of variability in build-up and wash-off processes into stormwater quality models. In addition, the approach can be used to quantify process uncertainty as an integral aspect of stormwater quality predictions using common uncertainty analysis techniques. The information produced using enhanced modelling tools will promote more informed decision-making, and thereby help to improve urban stormwater quality.

Knowledge Processing and Decision Making in Agent-Based Systems

Название: Knowledge Processing and Decision Making in Agent-Based Systems
ISBN: 3642099777 ISBN-13(EAN): 9783642099779
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Knowledge processing and decision making in agent-based systems constitute the key components of intelligent machines. This book contains the latest research in the area of knowledge processing and decision making in agent-based systems.


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