An explainable fused lasso regression model for handling high-dimensional fuzzy data-Reference-Cited by-同舟云学术

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An explainable fused lasso regression model for handling high-dimensional fuzzy data

Published:2024-05 Issue: Volume:441 Page:115721
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Hesamian Gholamreza,Johannssen Arne^ORCID,Chukhrova Nataliya

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference21 articles.

1. Fuzzy regression analysis: systematic review and bibliography;Chukhrova;Appl. Soft Comput.,2019

2. Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data;D’Urso;Comput. Statist. Data Anal.,2003

3. A fuzzy linear regression model with better explanatory power;Kao;Fuzzy Sets and Systems,2002

4. Least-squares estimates in fuzzy regression analysis;Kao;European J. Oper. Res.,2003

5. A mathematical-programming approach to fuzzy linear regression analysis;Nasrabadi;Appl. Math. Comput.,2004

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1. A learning system-based soft multiple linear regression model;Intelligent Systems with Applications;2024-06

2. Predictive modeling of nitrogen content in winter wheat plants based on LASSO feature screening and UAV imagery;Fourth International Conference on Sensors and Information Technology (ICSI 2024);2024-05-06

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