Publication date
March 2009
DOI Publisher
Palgrave McMillan Citation count (estimate)
7Abstract
This chapter looks at obtaining distributions from groups for decisions under uncertaint
This chapter looks at obtaining distributions from groups for decisions under uncertaint
Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, counta...
This work deals with the propagation of uncertainty in decision analysis problems. In the practice, ...
In this chapter, we consider the problem of the elicitation and specification of an uncertainty dist...
This chapter looks at obtaining distributions from groups for decisions under uncertaint
One employs the mathematical analysis of decision making when the state of nature is uncertain but f...
Optimal decisions on the distribution of finite resources are explicitly structured by mathematical ...
International audienceThe goal of this chapter is to provide a general introduction to decision maki...
Optimal decisions on the distribution of finite resources are explicitly structured by mathematical ...
Optimal decisions on the distribution of finite resources are explicitly structured by mathematical ...
This chapter discusses decision making under uncertainty. More specifically, it offers an overview o...
Recent advances in decision making have incorporated both risk and ambiguity in decision theory and ...
textabstractThis chapter deals with individual decision making under uncertainty (unknown probabilit...
This chapter reviews developments in the theory of decision making under risk and uncertainty, focus...
Uncertainty analysis has become an increasingly important part of risk assessments and operations re...
This book is for use in an introductory course in probability and statistics for students interested...
Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, counta...
This work deals with the propagation of uncertainty in decision analysis problems. In the practice, ...
In this chapter, we consider the problem of the elicitation and specification of an uncertainty dist...
This chapter looks at obtaining distributions from groups for decisions under uncertaint
One employs the mathematical analysis of decision making when the state of nature is uncertain but f...
Optimal decisions on the distribution of finite resources are explicitly structured by mathematical ...
International audienceThe goal of this chapter is to provide a general introduction to decision maki...
Optimal decisions on the distribution of finite resources are explicitly structured by mathematical ...
Optimal decisions on the distribution of finite resources are explicitly structured by mathematical ...
This chapter discusses decision making under uncertainty. More specifically, it offers an overview o...
Recent advances in decision making have incorporated both risk and ambiguity in decision theory and ...
textabstractThis chapter deals with individual decision making under uncertainty (unknown probabilit...
This chapter reviews developments in the theory of decision making under risk and uncertainty, focus...
Uncertainty analysis has become an increasingly important part of risk assessments and operations re...
This book is for use in an introductory course in probability and statistics for students interested...
Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, counta...
This work deals with the propagation of uncertainty in decision analysis problems. In the practice, ...
In this chapter, we consider the problem of the elicitation and specification of an uncertainty dist...
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