Decision Theory with Imperfect Information, Aliev Rafik A., Huseynov Oleg H.

Автор: Yakov Ben-Haim
Название: Info-Gap Decision Theory,
ISBN: 0123735521 ISBN-13(EAN): 9780123735522
Издательство: Elsevier Science
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Цена: 22738.00 р.
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Описание: A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. This book discusses info-gap explanations of robust-satisficing behavior.

Автор: S. Panchapakesan; N. Balakrishnan
Название: Advances in Statistical Decision Theory and Applications
ISBN: 1461274958 ISBN-13(EAN): 9781461274957
Издательство: Springer
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Цена: 14673.00 р.
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Описание: The first editor`s association with Shanti Gupta goes back to 1965 when he came to Purdue to do his Ph.D. The second editor`s association with Shanti Gupta began in 1978 when he started his research in the area of order statistics. During the past twenty years, he has collaborated with Shanti Gupta on several publications.

Автор: Schick Frederic
Название: Making Choices: A Recasting of Decision Theory
ISBN: 0521588405 ISBN-13(EAN): 9780521588409
Издательство: Cambridge Academ
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Цена: 5384.00 р.
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Описание: This book, first published in 1997, is an introductory overview of decision theory. It is completely non-technical, without a single formula in the book. Written in a crisp and clear style it succinctly covers the full range of philosophical issues of rationality and decision theory, including game theory, social choice theory, prisoner`s dilemma and much else.

Автор: Peterson
Название: An Introduction to Decision Theory
ISBN: 1316606201 ISBN-13(EAN): 9781316606209
Издательство: Cambridge Academ
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Цена: 4594.00 р.
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Описание: An essential introduction to all aspects of decision theory, with new and updated discussions, examples, and exercises. Philosophy students and others will benefit from accessible chapters covering utility theory, risk, Bayesianism, game theory and more. The book is clearly written in non-technical language and includes a glossary of key terms.

Автор: Peterson
Название: An Introduction to Decision Theory
ISBN: 1107151597 ISBN-13(EAN): 9781107151598
Издательство: Cambridge Academ
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Цена: 11246.00 р.
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Описание: An essential introduction to all aspects of decision theory, with new and updated discussions, examples, and exercises. Philosophy students and others will benefit from accessible chapters covering utility theory, risk, Bayesianism, game theory and more. The book is clearly written in non-technical language and includes a glossary of key terms.

Автор: A. Rapoport
Название: Decision Theory and Decision Behaviour
ISBN: 0333681479 ISBN-13(EAN): 9780333681473
Издательство: Springer
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Цена: 27251.00 р.
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Описание: The book treats two approaches to decision theory: (1) the normative, purporting to determine how a `perfectly rational` actor ought to choose among available alternatives; The mathematical tools used in the normative approach range from elementary algebra to matrix and differential equations.

Автор: Aliev R. A.
Название: Uncertain Computation-Based Decision Theory
ISBN: 9813228938 ISBN-13(EAN): 9789813228931
Издательство: World Scientific Publishing
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Цена: 26928.00 р.
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Описание:

Uncertain computation is a system of computation and reasoning in which the objects of computation are not values of variables but restrictions on values of variables.

This compendium includes uncertain computation examples based on interval arithmetic, probabilistic arithmetic, fuzzy arithmetic, Z-number arithmetic, and arithmetic with geometric primitives.

The principal problem with the existing decision theories is that they do not have capabilities to deal with such environment. Up to now, no books where decision theories based on all generalizations level of information are considered. Thus, this self-containing volume intends to overcome this gap between real-world settings' decisions and their formal analysis.

Автор: George J. Klir; Mark J. Wierman
Название: Uncertainty-Based Information
ISBN: 3790812420 ISBN-13(EAN): 9783790812428
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Colleges give degrees in information science and information management. The purpose of this volume is to introduce key developments and results in the area of generalized information theory, a theory that deals with uncertainty-based information within mathematical frameworks that are broader than classical set theory and probability theory.

Автор: George J. Klir; Mark J. Wierman
Название: Uncertainty-Based Information
ISBN: 379082464X ISBN-13(EAN): 9783790824643
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Colleges give degrees in information science and information management. The purpose of this volume is to introduce key developments and results in the area of generalized information theory, a theory that deals with uncertainty-based information within mathematical frameworks that are broader than classical set theory and probability theory.

Автор: Joyce
Название: The Foundations of Causal Decision Theory
ISBN: 0521063566 ISBN-13(EAN): 9780521063562
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: This book defends the view that any adequate account of rational decision making must take a decision maker`s beliefs about causal relations into account. In providing the most complete and robust defence of causal decision theory the book will be of interest to a broad range of readers.