with random expected value programming theory, and the hybrid intelligence algorithm solution model was designed. Aiming at … was designed using fuzzy random programming theory with customer demand as fuzzy random variables and a hybrid … intelligence algorithm solution was created.The research has significance both in theory and practice. Its theoretical significance …

Information Theory with Expected Utility Theory. The book shows how the parameters of Bayes’ theorem can be combined with a value …

Historical Origins of Uncertainty in Economic Theory -- Theoretical Foundations of Monetary Policy under Uncertainty … from a market perspective or from a central bank perspective. Contents Historical Origins of Uncertainty in Economic Theory …

Risk: Is There a Unique Objective Measure? -- Expected Utility Theory -- Stochastic Dominance Decision Rules … Dominance Approach -- Non-Expected Utility and Stochastic Dominance -- Stochastic Dominance and Prospect Theory -- Multivariate …. The non-expected utility approach focuses on Regret Theory (RT) and mainly on prospect theory (PT) and its modified …

Deconstruction for Mathematical Prediction -- Singularity and Chaos Theory -- The Mathematical Solution -- Universal Risk Management …

). 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 … chance theory is presented in Chapter 6. …