A fuzzy linear regression model with autoregressive fuzzy errors based on exact predictors and fuzzy responses-Reference-Cited by-同舟云学术

A fuzzy linear regression model with autoregressive fuzzy errors based on exact predictors and fuzzy responses

Published:2022-08-18 Issue:6 Volume:41 Page:
ISSN:2238-3603
Container-title:Computational and Applied Mathematics
language:en
Short-container-title:Comp. Appl. Math.

Author:

Akbari Mohammad Ghasem,Hesamian Gholamreza^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics

Link

https://link.springer.com/content/pdf/10.1007/s40314-022-01994-0.pdf

Reference36 articles.

1. Akbari MG, Hesamian G (2019) A partial-robust-ridge-based regression model with fuzzy predictors-responses. J Comput Appl Math 351:290–301

2. Akbari MG, Hesamian G (2019) Elastic net oriented to fuzzy semi-parametric regression model with fuzzy explanatory variables and fuzzy responses. IEEE Trans Fuzzy Syst 1:1–11

3. Amiri MJ, Zarei AR, Abedi-Koupai J, Eslamian S (2019) The performance of fuzzy regression method for estimating of reference evapotranspiration under controlled environment. Int J Hydrol Sci Technol 9:28–38

4. Asadolahi M, Akbari MG, Hesamian G, Arefi M (2021) A robust support vector regression with exact predictors and fuzzy responses. Int J Approx Reason 132:206–225

5. Chan KY, Lam HK, Yiu CKF, Dillon TS (2017) A flexible fuzzy regression method for addressing non-linear uncertainty on aesthetic quality assessments. IEEE Trans Syst Man Cybernet Syst 47:2363–2377

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