membership based neutrosophic approach for supervised f ingerprint image classification

Authors

  • Vinoth D Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore.
  • Ezhilmaran Devarasan Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore

Keywords:

Machine learning, decision tree, random forest, KNN, Naive Bayes, logistic regression, neutro- sophic image, fingerprint image

Abstract

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Published

2023-12-01

Issue

Vol. 60 (2023): Neutrosophic Sets and Systems

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

License

Copyright (c) 2023 Neutrosophic Sets and Systems

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

Vinoth D, & Ezhilmaran Devarasan. (2023). membership based neutrosophic approach for supervised f ingerprint image classification. Neutrosophic Sets and Systems, 60, 420-445. https://fs.unm.edu/nss8/index.php/111/article/view/3792