Many real-world decision making situation are associated with uncertainty regarding future state of the World. Traditionally, in such situation different (and discrete) scenarios – future states of nature – are considered. This domain of decision making is denoted as decision making under risk. However, limitation to some set of discrete scenarios is somewhat unnatural as future reality might not choose one of considered scenarios, but some other scenario or a scenario in between. The aim of this paper is to propose a more natural approach with continuum states of nature, where all scenarios expressed by their probability density function from some reasonable interval are taken into consideration. The approach is illustrated by a numerical ...
An overview of the concepts of Growth and Sustainability is developed in the frame of Decision Makin...
In the present paper, the types of decisions being taken at the top management level of a company, ...
Although many Mathematical Programming techniques have been developed for application to decision ma...
Many real-world decision making situation are associated with uncertainty regarding future state of ...
”Decision making always and necessarily implies human actions, which, when facing an external event ...
This paper concerns decisions under uncertainty in which the probabilities of the states of nature a...
This survey paper prepared for the Handbook of Utility Theory covers the axiomatic foundations of de...
This thesis is focused on decision models for decision making under risk and uncertainty. The thesis...
The paper is intended to be a synthesis of the general approaches on economic risk and economic deci...
This paper discusses the definition of the state space and corresponding choice sets that figure in ...
International audienceThe goal of this chapter is to provide a general introduction to decision maki...
This paper considers a continuous-time biological model in which the growth rate of a population is ...
In models of decision making under uncertainty we often are faced with the problem of representing t...
Catastrophic risks are rare events with major consequences, such as market crashes, catastrophic cli...
summary:We present an alternative approach to decision-making in the framework of possibility theory...
An overview of the concepts of Growth and Sustainability is developed in the frame of Decision Makin...
In the present paper, the types of decisions being taken at the top management level of a company, ...
Although many Mathematical Programming techniques have been developed for application to decision ma...
Many real-world decision making situation are associated with uncertainty regarding future state of ...
”Decision making always and necessarily implies human actions, which, when facing an external event ...
This paper concerns decisions under uncertainty in which the probabilities of the states of nature a...
This survey paper prepared for the Handbook of Utility Theory covers the axiomatic foundations of de...
This thesis is focused on decision models for decision making under risk and uncertainty. The thesis...
The paper is intended to be a synthesis of the general approaches on economic risk and economic deci...
This paper discusses the definition of the state space and corresponding choice sets that figure in ...
International audienceThe goal of this chapter is to provide a general introduction to decision maki...
This paper considers a continuous-time biological model in which the growth rate of a population is ...
In models of decision making under uncertainty we often are faced with the problem of representing t...
Catastrophic risks are rare events with major consequences, such as market crashes, catastrophic cli...
summary:We present an alternative approach to decision-making in the framework of possibility theory...
An overview of the concepts of Growth and Sustainability is developed in the frame of Decision Makin...
In the present paper, the types of decisions being taken at the top management level of a company, ...
Although many Mathematical Programming techniques have been developed for application to decision ma...