Medical Diagnosis Using Distance-Based Similarity Measures of Single Valued Neutrosophic Multisets

Authors

  • Shan Ye Tashan Community Health Service Center. 29 Huiri Bridge, Yuecheng District, Shaoxing, Zhejiang 312000, P.R. China
  • Jing Fu Shaoxing Second Hospital, 123 Yanan Road, Shaoxing, Zhejiang 312000, P.R. China,
  • Jun Ye Department of Electrical and Information Engineering, Shaoxing University, 508 Huancheng West Road, Shaoxing, Zhejiang 312000, P.R. China.

Keywords:

Single valued neutrosophic multiset, distance measure, similarity measure, medical diagnosis.

Abstract

This paper proposes a generalized distance measure and its similarity measures between single valued neutrosophic multisets (SVNMs). Then, the similarity measures are applied to a medical diagnosis problem with incomplete, indeterminate and inconsistent information.This diagnosis method can deal with the diagnosis problem with indeterminate and inconsistent information which cannot be handled by the diagnosis method based on intuitionistic fuzzy multisets (IFMs).

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Published

2020-09-10

Issue

Vol. 7 (2015): Neutrosophic Sets and Systems

Section

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

License

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

Ye, S. ., Fu, J., & Ye, J. . (2020). Medical Diagnosis Using Distance-Based Similarity Measures of Single Valued Neutrosophic Multisets. Neutrosophic Sets and Systems, 7, 47-52. https://fs.unm.edu/nss8/index.php/111/article/view/122

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