TY - JOUR
A2 - Liao, T. Warren
AU - Liu, Xilong
AU - Chen, Yizeng
PY - 2013
DA - 2013/12/24
TI - A Systematic Approach to Optimizing Value for Fuzzy Linear Regression with Symmetric Triangular Fuzzy Numbers
SP - 210164
VL - 2013
AB - 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.
SN - 1024-123X
UR - https://doi.org/10.1155/2013/210164
DO - 10.1155/2013/210164
JF - Mathematical Problems in Engineering
PB - Hindawi Publishing Corporation
KW -
ER -