Mamdani-Type Fuzzy Inference System for Evaluation of Tax Potential

被引：4

作者：

Musayev, Akif ^{[1
]}

Madatova, Shahzade ^{[2
]}

Rustamov, Samir ^{[3
]}

机构：

[1] Inst Control Syst, Baku, Azerbaijan

[2] Azerbaijan State Univ Oil & Ind, Baku, Azerbaijan

[3] ADA Univ, Inst Control Syst, Baku, Azerbaijan

来源：

RECENT DEVELOPMENTS AND THE NEW DIRECTION IN SOFT-COMPUTING FOUNDATIONS AND APPLICATIONS | 2018年 / 361卷

关键词：

LINGUISTIC-SYNTHESIS;

D O I：

10.1007/978-3-319-75408-6_39

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In the paper, the application of Mamdani-type fuzzy inference method to the expert evaluation of the impact of tax administration reforms on the tax potential is investigated. As input data of the system are taken reforms in tax administration and fuzzified by the triangle, trapezoid, Gaussian and Bell membership functions. It has been shown that the suggested fuzzy approach is one of the effective methods for evaluation of tax potential.

引用

页码：511 / 523

页数：13

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