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.
Автор: Gloria Phillips-Wren Название: New Advances in Intelligent Decision Technologies ISBN: 3642101607 ISBN-13(EAN): 9783642101601 Издательство: Springer Рейтинг: Цена: 36197.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers the works and research presented at the First KES International Symposium on Intelligent Decision Technologies. Topics cover the theory, design, development, implementation, testing and evaluation of intelligent decision systems.
Автор: Pierre Bessi?re; Christian Laugier; Roland Siegwar Название: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems ISBN: 3642097847 ISBN-13(EAN): 9783642097843 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The chapters contain a sizable segment of cognitive systems research in Europe. Contributions come from leading academic institutions within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS).
Автор: Yong Shi; Shouyang Wang; Yi Peng; Jianping Li; Yon Название: Cutting-Edge Research Topics on Multiple Criteria Decision Making ISBN: 3642022979 ISBN-13(EAN): 9783642022975 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 20th International Conference MCDM 2009 ChengduJiuzhaigou China June 2126 2009 Proceedings. .
Автор: Chee Peng Lim Название: Handbook on Decision Making ISBN: 364242239X ISBN-13(EAN): 9783642422393 Издательство: Springer Рейтинг: Цена: 41787.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook presents a useful collection of AI techniques, as well as other complementary methodologies, useful for the design and development of intelligent decision support systems. The book includes a variety of real-world problems in different domains.
Автор: Jiuping Xu; Xiaoyang Zhou Название: Fuzzy-Like Multiple Objective Decision Making ISBN: 3642437028 ISBN-13(EAN): 9783642437021 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using real-life problems, this book presents applications of the fuzzy-like multi-objective decision making (FLMODM) model. It proposes the basic theories, models and algorithms and applies them to solve realistic problems.
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 Рейтинг: Цена: 12578.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Marina V. Sokolova; Antonio Fern?ndez Caballero Название: Decision Making in Complex Systems ISBN: 364244444X ISBN-13(EAN): 9783642444449 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The study of complex systems involves researchers in diverse fields, with some systems such as epidemiology possessing an emergency priority. This volume collates existing methods for creating decision-support systems and places them in a more coherent system.
Автор: Kahraman Название: Fuzzy Statistical Decision-Making ISBN: 3319390120 ISBN-13(EAN): 9783319390123 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments.
Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these machines are used to build a Granger non-linear causality model. In addition, the Neyman-Rubin, Pearl and Granger causal models are studied and are unified. The automatic relevance determination is also applied to extend Granger causality framework to the non-linear domain. The concept of rational decision making is studied, and the theory of flexibly-bounded rationality is used to extend the theory of bounded rationality within the principle of the indivisibility of rationality. The theory of the marginalization of irrationality for decision making is also introduced to deal with satisficing within irrational conditions. The methods proposed are applied in biomedical engineering, condition monitoring and for modelling interstate conflict.
Автор: Florin Gheorghe Filip; Bala-Costantin Zamfirescu; Название: Computer-Supported Collaborative Decision-Making ISBN: 3319472194 ISBN-13(EAN): 9783319472195 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a book about how management and control decisions are made by persons who collaborate and possibly use the support of an information system. The decision is the result of human conscious activities aiming at choosing a course of action for attaining a certain objective (or a set of objectives). The act of collaboration implies that several entities who work together and share responsibilities to jointly plan, implement and evaluate a program of activities to achieve the common goals. The book is intended to present a balanced view of the domain to include both well-established concepts and a selection of new results in the domains of methods and key technologies. It is meant to answer several questions, such as: a) “How are evolving the business models towards the ever more collaborative schemes?”; b) “What is the role of the decision-maker in the new context?” c) “What are the basic attributes and trends in the domain of decision-supporting information systems?”; d) “Which are the basic methods to aggregate the individual preferences?” e)“What is the impact of modern information and communication technologies on the design and usage of decision support systems for groups of people?”.
Описание: This book provides an overview of intelligent decision-making techniques and discusses their application in production and retail operations. Manufacturing and retail enterprises have stringent standards for using advanced and reliable techniques to improve decision-making processes, since these processes have significant effects on the performance of relevant operations and the entire supply chain. In recent years, researchers have been increasingly focusing attention on using intelligent techniques to solve various decision-making problems. The opening chapters provide an introduction to several commonly used intelligent techniques, such as genetic algorithm, harmony search, neural network and extreme learning machine. The book then explores the use of these techniques for handling various production and retail decision-making problems, such as production planning and scheduling, assembly line balancing, and sales forecasting.
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