Computer Science ›› 2010, Vol. 37 ›› Issue (8): 182-185.

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Dynamic-stochastic Influence Diagrams for Decision Analysis

ZHAO Xin,LI Qun,ZHU Yi-fan   

  • Online:2018-12-01 Published:2018-12-01

Abstract: As an expanded mode of Influence Diagrams,the himcSliced IDs (TSIDs,or Dynamic IDs) increases cause effect relationship description capability effectively for decision analysis. But it still can't becomingly describe intercurrent, alternating, or coordinated processes of complex system. Based on the analysis of discrete-event system model, the paper suggested a Dynami}stochastic IDs (DSIDs) by introducing a time node to expand existing model-criterion, explicated its graphical syntax,and gave its evaluating algorithm The DS)Ds could be used as an effected approach to improve existing himcSliced IDs to describe complex processes.

Key words: Decision analysis, Time-sliced influence diagrams, Discrete-event system simulation, Dynami}stochastic in flucnce diagrams, Model-criterion, Model evaluating

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