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Uncertainty Theory

By: Liu, Dr. Baoding [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Fuzziness and Soft Computing: 154Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.Description: X, 255 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540731658.Subject(s): Engineering | Artificial intelligence | Applied mathematics | Engineering mathematics | Mathematical optimization | Operations research | Management science | Probabilities | Engineering | Appl.Mathematics/Computational Methods of Engineering | Applications of Mathematics | Probability Theory and Stochastic Processes | Artificial Intelligence (incl. Robotics) | Optimization | Operations Research, Management ScienceDDC classification: 519 Online resources: Click here to access online
Contents:
Prerequisites -- Probability Theory -- Credibility Theory -- Chance Theory -- Uncertainty Theory -- Supplements.
In: Springer eBooksSummary: Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, and countable subadditivity axioms. The goal of uncertainty theory is to study the behavior of uncertain phenomena such as fuzziness and randomness. The main topics include probability theory, credibility theory, and chance theory. For this new edition the entire text has been totally rewritten. More importantly, the chapters on chance theory and uncertainty theory are completely new. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, and management science will find this work a stimulating and useful reference.
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Item type Current location Call number Status Date due Barcode Item holds
E books E books PK Kelkar Library, IIT Kanpur
Available EBK10151
Total holds: 0

Prerequisites -- Probability Theory -- Credibility Theory -- Chance Theory -- Uncertainty Theory -- Supplements.

Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, and countable subadditivity axioms. The goal of uncertainty theory is to study the behavior of uncertain phenomena such as fuzziness and randomness. The main topics include probability theory, credibility theory, and chance theory. For this new edition the entire text has been totally rewritten. More importantly, the chapters on chance theory and uncertainty theory are completely new. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, and management science will find this work a stimulating and useful reference.

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