Fuzzy regression model using fuzzy partition

Citations

SCOPUS

5

초록

In this paper, we introduce a novel method to estimate fuzzy regression model when the center and spread have different pattern. We combine the least absolute deviations estimation for the center with discriminant analysis for spread. Also, we use the fuzzy partition to categorize spreads of the dependent variable into several classes. A numerical study is given to show that our method outperforms the estimation methods based on a fuzzy regression model with the assumption of equivalent functions for the center and spread. © Published under licence by IOP Publishing Ltd.

키워드

Bridge decksDiscriminant analysisEstimationNumerical methodsDependent variablesEquivalent functionsEstimation methodsFuzzy partitionFuzzy regression modelsLeast absolute deviationsRegression analysis
제목
Fuzzy regression model using fuzzy partition
저자
Jung, : Hye-Young.Lee, Woo-JooChoi,Seung Hoe
DOI
10.1088/1742-6596/1334/1/012019
발행일
2019-10
유형
Conference Paper
저널명
Journal of Physics: Conference Series
1334
1
페이지
1 ~ 8