AbstractThe method for determining the range over which a state probability may change without affecting the optimal solution is well documented in introductory management science text books for problems in which there are only two states of nature. For more realistic problems in which there are more than two states of nature, the methodology does not work. In this paper, we extend the approach taken for the two state problem to handle n states and present a simple algorithm for determining the range
We investigate algorithms for different steps in the decision making process, focusing on systems wh...
In many engineering situations, we need to make decisions under uncertainty. In some cases, we know ...
In models of decision making under uncertainty we often are faced with the problem ofrepresenting th...
AbstractThe method for determining the range over which a state probability may change without affec...
AbstractWe propose a method for computing the range of the optimal decisions when the utility functi...
This paper considers the main positions of one-sided and two-sided problems. For one-sided problems ...
The use of discretization in decision analysis allows practitioners to use only a few assessments to...
We introduce a classifying measure of fitness landscapes - the density of states - for continuous an...
This paper concerns decisions under uncertainty in which the probabilities of the states of nature a...
This paper lays down conceptual groundwork for optimal choice in infinite-horizon finite-state Marko...
Summarization: The optimal size of k is specified for two-state k-out-of-n systems that may be funct...
SIGLETIB: RN 4020 (779) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbi...
Abstract In this paper, we consider the decision problem that an automated control system faces when...
[[abstract]]This paper concentrates on sensitivity analysis of the optimal solution for the assignme...
This paper discusses multiple criteria models of decision analysis with finite sets of alternatives....
We investigate algorithms for different steps in the decision making process, focusing on systems wh...
In many engineering situations, we need to make decisions under uncertainty. In some cases, we know ...
In models of decision making under uncertainty we often are faced with the problem ofrepresenting th...
AbstractThe method for determining the range over which a state probability may change without affec...
AbstractWe propose a method for computing the range of the optimal decisions when the utility functi...
This paper considers the main positions of one-sided and two-sided problems. For one-sided problems ...
The use of discretization in decision analysis allows practitioners to use only a few assessments to...
We introduce a classifying measure of fitness landscapes - the density of states - for continuous an...
This paper concerns decisions under uncertainty in which the probabilities of the states of nature a...
This paper lays down conceptual groundwork for optimal choice in infinite-horizon finite-state Marko...
Summarization: The optimal size of k is specified for two-state k-out-of-n systems that may be funct...
SIGLETIB: RN 4020 (779) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbi...
Abstract In this paper, we consider the decision problem that an automated control system faces when...
[[abstract]]This paper concentrates on sensitivity analysis of the optimal solution for the assignme...
This paper discusses multiple criteria models of decision analysis with finite sets of alternatives....
We investigate algorithms for different steps in the decision making process, focusing on systems wh...
In many engineering situations, we need to make decisions under uncertainty. In some cases, we know ...
In models of decision making under uncertainty we often are faced with the problem ofrepresenting th...