Detail publikace
Boscovich fuzzy regression line
ŠKRABÁNEK, P. MAREK, J. POZDÍLKOVÁ, A.
Anglický název
Boscovich fuzzy regression line
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
en
Originální abstrakt
We introduce a new fuzzy linear regression method. The method is capable of approximating fuzzy relationships between an independent and a dependent variable. The independent and dependent variables are expected to be a real value and triangular fuzzy numbers, respec-tively. We demonstrate on twenty datasets that the method is reliable, and it is less sensitive to outliers, compare with possibilistic-based fuzzy regression methods. Unlike other commonly used fuzzy regression methods, the presented method is simple for implementation and it has linear time-complexity. The method guarantees non-negativity of model parameter spreads.
Anglický abstrakt
We introduce a new fuzzy linear regression method. The method is capable of approximating fuzzy relationships between an independent and a dependent variable. The independent and dependent variables are expected to be a real value and triangular fuzzy numbers, respec-tively. We demonstrate on twenty datasets that the method is reliable, and it is less sensitive to outliers, compare with possibilistic-based fuzzy regression methods. Unlike other commonly used fuzzy regression methods, the presented method is simple for implementation and it has linear time-complexity. The method guarantees non-negativity of model parameter spreads.
Klíčová slova anglicky
fuzzy linear regression; non-symmetric triangular fuzzy number; least absolute value; Boscovich regression line; outlier
Vydáno
23.03.2021
Nakladatel
MDPI
Místo
Basel, Switzerland
ISSN
2227-7390
Ročník
9
Číslo
6
Strany od–do
1–14
Počet stran
14
BIBTEX
@article{BUT171143,
author="Pavel {Škrabánek} and Jaroslav {Marek} and Alena {Pozdílková},
title="Boscovich fuzzy regression line",
year="2021",
volume="9",
number="6",
month="March",
pages="1--14",
publisher="MDPI",
address="Basel, Switzerland",
issn="2227-7390"
}