A New Fuzzy Linear Regression Model for a Special Case of Interval Type-2 Fuzzy Sets

2016 ◽  
Vol 10 (3) ◽  
pp. 1209-1214 ◽  
Author(s):  
Ashraf Darwish ◽  
Olga Poleshchuk ◽  
Evgeny Komarov
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Fuzzy Sets ◽  
Linear Regression Model ◽  
Fuzzy Linear Regression ◽  
Fuzzy Linear Regression Model ◽  
Interval Type ◽  
Special Case

The fuzzy linear regression model for finding sales forcastion from financial leasing in China’s equipment manufacturing industries

2021 ◽  
Vol 40 (4) ◽  
pp. 8477-8484
Author(s):  
Chengke Zhu ◽  
Junshan Wang
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Substantial Effect ◽  
Manufacturing Industries ◽  
Fuzzy Linear Regression ◽  
Sales Revenue ◽  
Financial Leasing ◽  
Equipment Manufacturing ◽  
Fuzzy Linear Regression Model

With the development of technology and artificial intelligence(AI), financial leasing is used frequently in China’s equipment manufacturing industries, especially after 2008, which attracts our attention. This paper focuses on the problem. A theoretical model is provided in the paper to explain the motivation that why financial leasing is used in equipment manufacturing industries. In this paper, we employ multi-level fuzzy linear regression model to analyze data of manufacturing equipment industry of China in order to discover impact between sales revenue and financial leasing. We also discover credit sale forecasting using this model. We discover that economic leasing has a constructive important effect on sales revenue in total samples, which is consistent with the theoretical framework. However, the results are different in sub-industries, which shows that economic leasing has a constructive and important effect on sales profits in some sub-industries, but some of them are not. Furthermore, we also find that asset characteristics has a substantial effect on financial leasing decision. The outcome demonstrates that the more precise the asset, the easier it can be leased.

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