Relative entropy method for fuzzy multiple attribute decision making and its application to software quality evaluation

被引：4
|
作者：
Li, Qingxiang [1 ]
Zhao, Xiaofei [2 ]
Lin, Rui [2 ]
Chen, Benyan [2 ]
机构：
[1] Chongqing Univ Arts & Sci, Sch Software Engn, Yongchuan 402160, Peoples R China
[2] Chongqing Univ Arts & Sci, Inst Decis Sci, Yongchuan 402160, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2014年 / 26卷 / 04期
关键词：
Multiple attribute decision making; triangular fuzzy number; relative entropy; information measure; software quality evaluation; OPERATORS;
D O I：
10.3233/IFS-130848
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1687 / 1693
页数：7
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