夫法的核心是确定状态转移概率矩阵。
The core of Markov method is to decide the state transferring probability matrix.
研究表明灰色理论可以提高基于马可夫链的状态转移概率矩阵的精度。
Gray theory can improve the precision of pavement evaluation by constructing Makov-chain based transitional probability matrix of pavement structures.
建立马尔可夫模型并由马尔可夫状态转移概率矩阵计算出程序的可靠度。
We also present how to compute the reliability of a program based on factoring method and Markov model.
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