Boscovich fuzzy regression line

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU140611" target="_blank" >RIV/00216305:26210/21:PU140611 - isvavai.cz</a>

Alternative codes found

RIV/00216275:25530/21:39918289

Result on the web

<a href="https://www.mdpi.com/2227-7390/9/6/685" target="_blank" >https://www.mdpi.com/2227-7390/9/6/685</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/math9060685" target="_blank" >10.3390/math9060685</a>

Result language

angličtina

Original language name

Boscovich fuzzy regression line

Original language description

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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10102 - Applied mathematics

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Mathematics

ISSN

2227-7390

e-ISSN

—

Volume of the periodical

9

Issue of the periodical within the volume

6

Country of publishing house

CH - SWITZERLAND

Number of pages

14

Pages from-to

1-14

UT code for WoS article

000645339500001

EID of the result in the Scopus database

2-s2.0-85103537923