Decision Analysis under Partial Information

1998 ◽  
pp. 75-84
Author(s):  
Vladislav V. Podinovski ◽  
Victor V. Podinovski
Keyword(s):  
Decision Analysis ◽  
Partial Information

scholarly journals Simulated Decision Learning in a Multiactor Setting

Organizacija ◽  
2010 ◽  
Vol 43 (3) ◽  
pp. 136-145 ◽  
Author(s):  
Viveca Asproth ◽  
Stig Holmberg ◽  
Ulrica Löfstedt
Keyword(s):  
Decision Analysis ◽  
Simulation Model ◽  
Disaster Management ◽  
Continuous Improvement ◽  
Operational Research ◽  
Partial Information ◽  
Real Object ◽  
Object System ◽  
Decision Outcomes ◽  
One Step

Simulated Decision Learning in a Multiactor SettingThe idea of decision analysis-and subsequent learning from the outcomes-is old within Operational Research. Here this approach to continuous improvement of decision outcomes is put one step further within the area of crisis and disaster management. This is done by introducing multiactors making simultaneous decisions with just partial information about each other. Further, decision outcomes are achieved from a simulation model rather than from the real object system.

84: A Decision Analysis of Treatments for Nonobstructive Azoospermia Associated with Varicocele

2007 ◽  
Vol 177 (4S) ◽  
pp. 29-30
Author(s):  
Richard Lee ◽  
Mark A. Callahan ◽  
Glen Schattman ◽  
Philip S. Li ◽  
Marc Goldstein ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Nonobstructive Azoospermia

Evidence for using partial information to reconstruct dates of events

1991 ◽  
Author(s):  
Charles P. Thompson ◽  
John J. Skowronski ◽  
Andrew L. Betz
Keyword(s):  
Partial Information

Automated Development of Clinical Strategies Using Multistage Decision Analysis

1986 ◽  
Vol 25 (04) ◽  
pp. 207-214 ◽  
Author(s):  
P. Glasziou
Keyword(s):  
Decision Tree ◽  
Decision Analysis ◽  
Decision Trees ◽  
Optimal Strategy ◽  
Cholestatic Jaundice ◽  
Clinical Strategies ◽  
Simultaneous Study

SummaryThe development of investigative strategies by decision analysis has been achieved by explicitly drawing the decision tree, either by hand or on computer. This paper discusses the feasibility of automatically generating and analysing decision trees from a description of the investigations and the treatment problem. The investigation of cholestatic jaundice is used to illustrate the technique.Methods to decrease the number of calculations required are presented. It is shown that this method makes practical the simultaneous study of at least half a dozen investigations. However, some new problems arise due to the possible complexity of the resulting optimal strategy. If protocol errors and delays due to testing are considered, simpler strategies become desirable. Generation and assessment of these simpler strategies are discussed with examples.

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