Interpretable Multiattribute Predictive Analysis Model Based on Rough Fuzzy Sets and Logistic Regression-Reference-Cited by-同舟云学术

Interpretable Multiattribute Predictive Analysis Model Based on Rough Fuzzy Sets and Logistic Regression

Published:2023-10 Issue:10 Volume:31 Page:3522-3532
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Kang Yun¹^ORCID,Yu Bin¹^ORCID,Xu Zeshui²^ORCID

Affiliation:

1. Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education), School of Mathematics and Statistics, Hunan Normal University, Changsha, China

2. Business School, Sichuan University, Chengdu, China

Funder

Natural Science Foundation of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/91/10272989/10079142.pdf?arnumber=10079142

Reference38 articles.

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4. Prediction on the fluoride contamination in groundwater at the Datong Basin, Northern China: Comparison of random forest, logistic regression and artificial neural network

5. Explainable digital forensics AI: Towards mitigating distrust in AI-based digital forensics analysis using interpretable models

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