Boscovich Fuzzy Regression Line

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F21%3A39918289" target="_blank" >RIV/00216275:25530/21:39918289 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26210/21:PU140611
Result on the web
<a href="https://www.mdpi.com/2227-7390/9/6/685#metrics" target="_blank" >https://www.mdpi.com/2227-7390/9/6/685#metrics</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, respectively. 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
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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