Baoding Liu

Uncertainty Theory (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 255
• Erscheinungstermin: 14. September 2007
• Englisch
• ISBN-13: 9783540731658
• Artikelnr.: 44228946

Inhaltsangabe

Uncertain measure.- Uncertain variable.- Uncertain Programming.- Uncertain Statistics.- Uncertain Risk Analysis.- Uncertain Reliability Analysis.- Uncertain Logic.- Uncertain Entailment.- Uncertain Set.- Uncertain Inference.- Uncertain Process.- Uncertain Renewal Process.- Uncertain Calculus.- Uncertain Differential Equation.- Uncertain Finance.