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首页> 外文期刊>Environmental Monitoring and Assessment >Fusing probability density function into Dempster-Shafer theory of evidence for the evaluation of water treatment plant
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Fusing probability density function into Dempster-Shafer theory of evidence for the evaluation of water treatment plant

机译：将概率密度函数融合到Dempster-Shafer证据理论中以评估水处理厂

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摘要

The evaluation of the status of a municipal drinking water treatment plant (WTP) is important. The evaluation depends on several factors, including, human health risks from disinfection byproducts (R), disinfection performance (D), and cost (C) of water production and distribution. The Dempster-Shafer theory (DST) of evidence can combine the individual status with respect to R, D, and C to generate a new indicator, from which the overall status of a WTP can be evaluated. In the DST, the ranges of different factors affecting the overall status are divided into several segments. The basic probability assignments (BPA) for each segment of these factors are provided by multiple experts, which are then combined to obtain the overall status. In assigning the BPA, the experts use their individual judgments, which can impart subjective biases in the overall evaluation. In this research, an approach has been introduced to avoid the assignment of subjective BPA. The factors contributing to the overall status were characterized using the probability density functions (PDF). The cumulative probabilities for different segments of these factors were determined from the cumulative density function, which were then assigned as the BPA for these factors. A case study is presented to demonstrate the application of PDF in DST to evaluate a WTP, leading to the selection of the required level of upgradation for the WTP.
机译：对市政饮用水处理厂（WTP）的状态进行评估非常重要。评估取决于几个因素，包括消毒副产物（R），消毒性能（D）和水生产和分配成本（C）带来的人类健康风险。证据的Dempster-Shafer理论（DST）可以结合R，D和C的各个状态来生成新的指标，据此可以评估WTP的总体状态。在DST中，影响整体状态的不同因素的范围分为几个部分。这些因素的每个部分的基本概率分配（BPA）由多位专家提供，然后将其组合以获得总体状态。在分配BPA时，专家会使用他们的个人判断，这会在总体评估中产生主观偏见。在这项研究中，已引入一种避免主观BPA分配的方法。使用概率密度函数（PDF）对影响总体状态的因素进行了表征。从累积密度函数确定这些因子不同部分的累积概率，然后将其分配为这些因子的BPA。提出了一个案例研究，以演示PDF在DST中用于评估WTP的应用，从而为WTP选择所需的升级级别。

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