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Article type: Research Article
Authors: Li, Qingxiang | Zhao, Xiaofei | Lin, Rui | Chen, Benyan
Affiliations: School of Software Engineering, Chongqing University of Arts and Sciences, Yongchuan, China | Institute of Decision Sciences, Chongqing University of Arts and Sciences, Yongchuan, China
Note: [] Corresponding author. Benyan Chen, Institute of Decision Sciences, Chongqing University of Arts and Sciences, Yongchuan 402160, China. Tel./Fax: +86 2349891872; E-mail: [email protected]
Abstract: To study the problem of multiple attribute decision making in which the decision making information values are triangular fuzzy number, a relative entropy decision making method for software quality evaluation is proposed. Then, according to the concept of the relative entropy, the relative closeness degree is defined to determine the ranking order of all alternatives by calculating the relative entropy to both the fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) simultaneously. At last, a numerical example for software quality evaluation is provided to illustrate the proposed method. The result shows the approach is simple, effective and easy to calculate.
Keywords: Multiple attribute decision making, triangular fuzzy number, relative entropy, information measure, software quality evaluation
DOI: 10.3233/IFS-130848
Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 4, pp. 1687-1693, 2014
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