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Evaluation of the Impact of the Tax Legislation Reforms on the Tax Potential by Fuzzy Inference Method

机译:用模糊推理法评价税收立法改革对税收潜力的影响

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In the paper the Mamdani-Type Fuzzy inference method is applied for the expert evaluation of the impact of the tax legislation reforms on the tax potential. The model being investigated includes 4 inputs, 8 IF-THEN rules and a single-output. Triangle, trapezoid, Gaussian and Bell-shaped membership functions are used for the fuzzification of input data and output of the system is evaluated by Gaussian curve membership function. For the investigated year the laws made reforms in the Azerbaijan tax legislation are classified and evaluated on the base of fuzzy inference system.
机译:本文采用Mamdani型模糊推理方法对税法改革对税收潜力的影响进行专家评估。正在研究的模型包括4个输入,8个IF-THEN规则和单个输出。三角,梯形,高斯和钟形隶属度函数用于输入数据的模糊化,系统的输出由高斯曲线隶属度函数评估。在调查年度中,根据模糊推理系统对阿塞拜疆税法中进行的法律改革进行了分类和评估。

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