The application of fuzzy regression based on the trapezoidal fuzzy numbers to the software quality evaluation

被引：0

作者：

Li, Kewen ^{[1
]}

Zhang, Yu ^{[1
]}

Liu, Wenying ^{[1
]}

Gao, Junling ^{[1
]}

机构：

[1] College of Computer and Communication Engineering, China University of Petroleum, Qingdao, Shandong

来源：

Journal of Convergence Information Technology | 2012年 / 7卷 / 19期

关键词：

Fuzzy regression; Software ouality; Trapezoidal fuzzy numbers;

D O I：

10.4156/jcit.vol7.issue19.35

中图分类号：

学科分类号：

摘要：

The results of software quality evaluation is closely related with users' experience, but current methods of software quality evaluation lack attention to user requirements because of the abstraction and complexity of software products. The paper presents a fuzzy regression model with trapezoidal fuzzy numbers to express the relationships between the user requirements and software features which can not only meet the fuzziness of the user requirements but meet the complexity of the software products in reality. An illustrated example is presented to show the application of the proposed model, and the results indicate the model is more flexible and lays a good foundation for analyzing the software products quality quantitatively.

引用

页码：293 / 300

页数：7

共 13 条

[11]

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[12]

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[13]

Ishibuchi H., Nii M., Fuzzy regression analysis with Non-symmetric fuzzy number coefficients and its neural networks implementation, Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, pp. 318-324, (1996)

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