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Nicotine Replacement Therapy Decision based on Fuzzy Multi-criteria Analysis

机译：基于模糊多标准分析的尼古丁替代疗法决策

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It has been observed that Nicotine Replacement Therapy (NRT) is one of the alternatives to control and reduce smoking addiction among smokers. Since the decision to choose the best NRT alternative involves uncertainty, ambiguity factors and diverse input datasets, thus, this paper proposes a fuzzy multi-criteria analysis (FMA) to overcome these issues. It focuses on how the fuzzy approach can unify the diversity of datasets based on NRT's decision-making problem. The analysis done employed the advantage of the cost-benefit criterion to unify the mixture of dataset input. The performance matrix was utilised to derive the performance scores. An empirical example regarding the NRT's decision-making problem was employed to illustrate the proposed approach. Based on the calculations, this analytical approach was found to be highly beneficial in terms of usability. It was also very applicable and efficient in dealing with the mixture of input datasets. Hence, the decision-making process can easily be used by experts and patients who are interested to join the therapy/cessation program.
机译：已经观察到尼古丁替代疗法（NRT）是控制和减少吸烟者中吸烟成瘾的替代方案之一。由于选择最佳NRT替代方案的决定涉及不确定性，歧义因素和不同的输入数据集，因此，本文提出了模糊多标准分析（FMA）来克服这些问题。它专注于模糊方法如何统一基于NRT的决策问题的数据集多样性。完成的分析采用了成本效益标准的优点，使数据集输入的混合统一。性能矩阵用于导出性能分数。有关NRT决策问题的实证示例是用于说明所提出的方法。基于计算，发现这种分析方法在可用性方面是非常有益的。在处理输入数据集的混合时，它也非常适用和有效。因此，决策过程可以很容易地由有兴趣加入治疗/停止计划的专家和患者使用。

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