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      W-函數를 利用한 確率的 네트워크의 感度分析 = Sensitivity Analysis of the Stochastic Network using W-funtion

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      https://www.riss.kr/link?id=A2065157

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      다국어 초록 (Multilingual Abstract)

      When the sensitivity coefficient of stochastic network is used as evaluation measures for the system improvement, its analytic method may have the following advantages:
      First, the equivalent W-function for quantitative analysis can be obtained with the aid of this method, over the limitation of the traditional methods in the analysis of stochastic network.
      Second, the over-all operaton of system can be represented on Q-GERT network and the sensitivity equation can be derived from parameter variations.
      Third, the sensitivity coefficient of stochastic network can be used as measures for the system improvement, and can control the condition of system to a stable degree that the sensitivity coefficient approches zero.
      When used as an analytic method in the industrial field, this study, making contributions to the system improvement, will be good evaluation measures of system.
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      When the sensitivity coefficient of stochastic network is used as evaluation measures for the system improvement, its analytic method may have the following advantages: First, the equivalent W-function for quantitative analysis can be obtained with ...

      When the sensitivity coefficient of stochastic network is used as evaluation measures for the system improvement, its analytic method may have the following advantages:
      First, the equivalent W-function for quantitative analysis can be obtained with the aid of this method, over the limitation of the traditional methods in the analysis of stochastic network.
      Second, the over-all operaton of system can be represented on Q-GERT network and the sensitivity equation can be derived from parameter variations.
      Third, the sensitivity coefficient of stochastic network can be used as measures for the system improvement, and can control the condition of system to a stable degree that the sensitivity coefficient approches zero.
      When used as an analytic method in the industrial field, this study, making contributions to the system improvement, will be good evaluation measures of system.

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