Random Set Theory -- Random Multiple Objective Decision Making -- Bi-random Multiple Objective Decision Making …

). Chapter 1 gives some basic introduction to uncertain theories, including probability theory, credibility theory, uncertainty … theory and chance theory. Chapter 2 presents a comprehensive review and discussion of basic DEA models. The stochastic DEA is … introduced in Chapter 3, in which the inputs and outputs are assumed to be random variables. To obtain the probability …

Uncertainty and Fuzzy Imprecision -- On the Approximation of a Discrete Multivariate Probability Distribution Using the New …General Remarks on Robust Solutions -- Modeling of Uncertainty and Probabilistic Issues -- On Joint Modelling of Random … Concept of -Cherry Junction Tree -- Robust Solutions under Uncertainty -- Induced Discounting and Risk Management -- Cost …

and analytical tools. Uncertainty can dominate, as in the climate change debates. Increasing the resolution of models does … not always yield sufficient certainty. This book presents much-needed new tools for modeling and management of uncertainty. … concepts and analytical tools. The uncertainty critically dominantes, e.g., the climate change debates. In short, the dilemma …

This new edition includes the latest advances and developments in computational probability involving A Probability … Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that … encompass data structures and algorithms. The developed techniques address problems that require exact probability calculations …

Structural and Logical Modeling -- Logical And Probabilistic Theory Of Risk With Groups Of Incompatible Events -- Identification … Theory Of Non Success Risk -- Training Course Modeling Estimation and Analysis of Risks in Economics. … principles of the modern risk LP theory (the LP-calculus, the LP-methods and the risk LP-theory with GIE) using uniform …