Add to ORKGIn this paper, decision-making approaches with partially known information characterized by possibility distributions are proposed. Five kinds of criteria are provided for evaluating the alternatives. Based on the proposed possibilistic decision approaches, a newsvendor problem is analyzed
This paper improves a previously proposed axiomatic setting for qualitative decision under uncertain...
AbstractThis paper addresses the classification problem with imperfect data. More precisely, it exte...
This paper proposes a new decision making approch based on quantitative possibilistic influence diag...
This paper considers an alternative to the Bayesian approach to decision making that is based on pos...
This paper proposes a new approach for decision making under uncer-tainty based on in°uence diagrams...
summary:We present an alternative approach to decision-making in the framework of possibility theory...
The aim of this paper is to introduce a use of both the principle of minimal specificity (mS) and ma...
International audienceThe paper surveys recent AI-oriented works in qualitative decision developed b...
International audienceArgumentation-based decision provides a way for explaining choices which are a...
International audienceThis paper proposes a qualitative approach to solve multi-criteria decision ma...
Abstract. Decision Making is certainly the most important task of a manager and it is often a very d...
The decision problems are considered when the prior probabilistic information about the state of nat...
A qualitative counterpart to Von Neumann and Morgenstern's Expected Utility Theory of decision under...
Abstract: This chapter describes an alternative to the Bayesian approach to target classification th...
This paper introduces the likelihood method for decision under uncertainty. The method allows the qu...
This paper improves a previously proposed axiomatic setting for qualitative decision under uncertain...
AbstractThis paper addresses the classification problem with imperfect data. More precisely, it exte...
This paper proposes a new decision making approch based on quantitative possibilistic influence diag...
This paper considers an alternative to the Bayesian approach to decision making that is based on pos...
This paper proposes a new approach for decision making under uncer-tainty based on in°uence diagrams...
summary:We present an alternative approach to decision-making in the framework of possibility theory...
The aim of this paper is to introduce a use of both the principle of minimal specificity (mS) and ma...
International audienceThe paper surveys recent AI-oriented works in qualitative decision developed b...
International audienceArgumentation-based decision provides a way for explaining choices which are a...
International audienceThis paper proposes a qualitative approach to solve multi-criteria decision ma...
Abstract. Decision Making is certainly the most important task of a manager and it is often a very d...
The decision problems are considered when the prior probabilistic information about the state of nat...
A qualitative counterpart to Von Neumann and Morgenstern's Expected Utility Theory of decision under...
Abstract: This chapter describes an alternative to the Bayesian approach to target classification th...
This paper introduces the likelihood method for decision under uncertainty. The method allows the qu...
This paper improves a previously proposed axiomatic setting for qualitative decision under uncertain...
AbstractThis paper addresses the classification problem with imperfect data. More precisely, it exte...
This paper proposes a new decision making approch based on quantitative possibilistic influence diag...