A Systematic Approach to Optimizing h Value for Fuzzy Linear Regression with Symmetric Triangular Fuzzy Numbers
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-24
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Liu, Xilong& Chen, Yizeng. 2013. A Systematic Approach to Optimizing h Value for Fuzzy Linear Regression with Symmetric Triangular Fuzzy Numbers. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1008706
Modern Language Association (MLA)
Liu, Xilong& Chen, Yizeng. A Systematic Approach to Optimizing h Value for Fuzzy Linear Regression with Symmetric Triangular Fuzzy Numbers. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1008706
American Medical Association (AMA)
Liu, Xilong& Chen, Yizeng. A Systematic Approach to Optimizing h Value for Fuzzy Linear Regression with Symmetric Triangular Fuzzy Numbers. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1008706
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1008706