http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
An Introduction to its Axiomatic Foundations
Uncertainty Theory studies the behavior of random, fuzzy and rough events and is the generic name of probability theory, credibility theory, and trust theory. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The main purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers and students in the field of applied mathematics, operations research, statistics, industrial engineering, information science and management science will find this work a stimulating and useful reference.
Measure and Integral -- Probability Theory -- Credibility Theory -- Nonclassical Credibility Theory -- Trust Theory -- Generalized Trust Theory -- Fuzzy Random Theory -- Random Fuzzy Theory -- Random Rough Theory -- Rough Random Theory -- Fuzzy Rough Theory -- Rough Fuzzy Theory -- Birandom Theory -- Bifuzzy Theory -- Birough Theory -- Multifold Uncertainty.
Mathematical and Computational Engineering
Probability Theory and Stochastic Processes
Studies in Fuzziness and Soft Computing, 154