A Systematic Approach to Optimizing h Value for Fuzzy Linear Regression with Symmetric Triangular Fuzzy Numbers

被引：10
|
作者：
Liu, Xilong [1 ]
Chen, Yizeng [1 ]
机构：
[1] Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2013年 / 2013卷
关键词：
MODEL;
D O I：
10.1155/2013/210164
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A systematic approach is proposed to optimize h value for fuzzy linear regression (FLR) analysis using minimum fuzziness criteria with symmetric triangular fuzzy numbers (TFNs). Firstly, a new concept of credibility is defined to evaluate the performance of FLR models with different h values when a set of sample data pairs is given. Secondly, based on the defined concept of credibility, a programming model is formulated to optimize the value of h. Finally, both the numerical study and the real application show that the approach proposed in this paper is effective and efficient; that is, optimal value for h can be determined definitely with respect to a set of given sample data pairs.
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收藏
页数：9
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