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AIMS Mathematics

2024, Volume 9, Issue 5: 10478-10493. doi: 10.3934/math.2024512
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Uncertain logistic regression models

  • 1.
    School of Information Engineering and Artificial Intelligence, Lanzhou University of Finance and Economics, Lanzhou 730010, China
  • 2.
    College of Mathematics and Statistics, Northwest Normal University, Lanzhou 730070, China
  • Received: 19 January 2024 Revised: 27 February 2024 Accepted: 01 March 2024 Published: 18 March 2024

  • MSC : 03E72, 08A72, 26E50

  • Logistic regression is a generalized nonlinear regression analysis model and is often used for data mining, automatic disease diagnosis, economic prediction, and other fields. In this paper, we first aimed to introduce the concept of uncertain logistic regression based on the uncertainty theory, as well as investigating the likelihood function in the sense of uncertain measure to represent the likelihood of unknown parameters.

    Citation: Jinling Gao, Zengtai Gong. Uncertain logistic regression models[J]. AIMS Mathematics, 2024, 9(5): 10478-10493. doi: 10.3934/math.2024512

    Related Papers:

  • Logistic regression is a generalized nonlinear regression analysis model and is often used for data mining, automatic disease diagnosis, economic prediction, and other fields. In this paper, we first aimed to introduce the concept of uncertain logistic regression based on the uncertainty theory, as well as investigating the likelihood function in the sense of uncertain measure to represent the likelihood of unknown parameters.


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