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Application of D-S Evidence Theory to Uncertainty of Assessment Result in E-government

机译:D-S证据理论在电子政务评估结果不确定性中的应用

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How to solve uncertainty of assessment result is an important issue in E-government. Current qualitative assessment are based on subjective qualitative evaluation and the rigid division of the quantitative data, however both methods are less objective, precise and impartiality, as a result cause accuracy of assessment poorly. D-S Evidence theory is fit for processing the subjective judgment and synthesizing the uncertain knowledge. So, this theory is applied to the uncertainty of assessment results. Firstly used the classic 2/8 rule to build a dynamic contribution matrix. Then after weighted and normalized, we got a basic probability assignment MASS matrix. Final chosen one of the largest number of synthetic probability as assessment result. The algorithm has a strong versatility and an example is used to demonstrate its effectively in this text.
机译:如何解决评估结果的不确定性是电子政务的重要课题。当前的定性评估是基于主观定性评估和定量数据的严格划分,但是这两种方法的客观性,准确性和公正性均较差,结果导致评估的准确性较差。 D-S证据理论适用于处理主观判断和综合不确定性知识。因此,该理论适用于评估结果的不确定性。首先使用经典的2/8规则建立动态贡献矩阵。然后经过加权和归一化,我们得到了一个基本的概率分配MASS矩阵。最终选择了合成概率最大的之一作为评估结果。该算法具有很强的通用性,本文以一个实例对它进行了有效的演示。

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