under uncertainty and the industrial point of view based on the notion of risk management. This serves as a basis for the … their own customers ask them for personalisation and fast adaptation. It is thus necessary to develop methods and decision … support systems to reconcile the order and book processes. In this context, this paper intends firstly to relate decision …

it is necessary to develop methods and decision support systems to reconcile the order and book processes. In this … dedicated tool. The evaluation process is based on an exploitation of decision theory and game theory concepts and methods. …

powers to analyse the risk decision-making process over some years now. …Certain areas related to the topics under discussion here lie outside my field; for instance the evaluation of risk …

This chapter of a collective book aims at presenting the basics of decision making under risk. We first define notions … of risk and increasing risk and recall definitions and classifications (that are valid independently of any … representation) of behavior under risk. We then review the classical model of expected utility due to von Neumann and Morgenstern …

attention. They nonetheless constituted an opportunity to introduce a sophisticated analysis of individual decision under risk …. Through various examples, Smith pointed out a risk-seeking attitude, figured out in the paper in terms of inverse stochastic … overestimate the chance of gain, which leads to favor a rank-dependent utility approach within which optimism toward risk can …

this theorem to explain the well-known problems of utility and decision theories, such as risk aversion, the underweighting … preferences, choices, decisions, (ir)rational behavior at data uncertainty, noises and experimental errors in experiments … interpretation, probability theory, statistics, management, finance, investment, insurance, etc. …

This chapiter of a collective book is dedicated to classical decision models under uncertainty, i.e. under situations … where events do not have "objective" probabilities with which the Decision Marker agrees. We present successively the two …

uncertainties over forecasting hypotheses. A mean to control such uncertainties lies in the introduction of risk in the Costs … under uncertainty mainly developed after Dixit and Pindyck (1994). The second one is more empirical and uses Monte Carlo … possibility of changes in transport policy. This uncertainty should be controlled. It is the role of strategic modeling. …