). 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 … uncertain DEA. In order to evaluate the DMUs in which uncertainty and randomness appear simultaneously, the hybrid DEA based on …

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 …

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

We develop a model of pandemic risk management and firm valuation. We introduce aggregate transmission shocks into an …

shocks to aggregate uncertainty, I introduce a small, time-varying risk of economic disaster in a standard real business … risk of disaster does not affect the path of macroeconomic aggregates - a "separation theorem" between macroeconomic … variation in risk premia over time, are observationally equivalent to preference shocks. An increase in the perceived …

the present value of the flow of social benefits minus costs. But the real world is one of considerable uncertainty … discount rates that should be used to compute present values. The implications of uncertainty are complicated by the fact that … horizons. Correctly incorporating uncertainty in policy design is therefore one of the more interesting and important research …