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A Fuzzy Based System for Handling the Uncertainties in Group Decision Support for Complaint Management Process

机译:一种基于模糊的系统,用于处理投诉管理过程的组决策支持中的不确定性

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Complaint handling process to identify the importance level of the complaint involves high levels of uncertainty. The research was inspired by the manual process that involved a number of experts who hardly make a mutual decision. Hence, an effective approach need to introduce for handling the group decision making process and improve the importance level of the complaint identification process. This paper presents a fuzzy approach to handle the decision making process that involve several experts and to automate the complaint importance level identification process. Real complaint data from education body was used for the experiments purposes. Results showed that the system has been able to produce result to accuracy of 90.77% as compared to human generated baseline. This showed that the proposed approach produced decisions that were highly consistent with the human expert's decisions.
机译:申诉处理过程确定投诉的重要性水平涉及高度的不确定性。该研究受到了涉及一些难以做出相互决定的专家的手工过程。因此,有效的方法需要介绍处理组决策过程,并提高投诉识别过程的重要性水平。本文提出了一种模糊的方法来处理涉及若干专家的决策过程,并自动化申诉重要性级别识别过程。来自教育机构的真实投诉数据用于实验目的。结果表明,与人生成的基线相比,该系统能够产生90.77%的准确性。这表明,拟议的方法产生了与人类专家决策高度一致的决定。

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