Modeling for Environmental-Economic Management Systems under Uncertainty

Numerical modeling of economic uncertainty

Representation and modeling of economic uncertainty is addressed by different modeling methods, namely stochastic variables and probabilities, interval analysis, and fuzzy numbers, in particular triple estimates. Fo-cusing on discounted cash flow analysis numerical results are presented, comparisons are made between alter-native modeling methods, and characteristics of the methods are discussed.

Regulating Nonlinear Environmental Systems under Knightian Uncertainty

Economic Rationality under Uncertainty

Though uncertainty pervades all aspects of life and human action, it has a rather short history in economics. Surprisingly, Daniel Bernoulli’s (1738) notion of expected utility, which suggests that (in games of chance) monetary risky ventures ought to be evaluated by the sum of utilities of outcomes weighted by the corresponding probabilities, was not immediately used in economic theory. Indeed...

Optimal Cropping Pattern Modifications with the Aim of Environmental-Economic Decision Making Under Uncertainty

Sustainability in agricultural is determined by aspects like economy, society and environment. Multi-objective programming (MOP) model has been a widely used tool for studying and analyzing the sustainability of agricultural system. However, optimization models in most applications are forced to use data which is uncertain. Recently, robust optimization has been used as an optimization model th...

A Framework for Modeling and Optimizing Dynamic Systems under Uncertainty

Algebraic modeling languages (AMLs) have drastically simplified the implementation of algebraic optimization problems. However, there are still many classes of optimization problems that are not easily represented in most AMLs. These classes of problems are typically reformulated before implementation, which requires significant effort and time from the modeler and obscures the original problem...