Medical Diagnosis via Distance Measures on Picture Fuzzy Sets

Medical Diagnosis via Distance Measures on Picture Fuzzy Sets

Palash Dutta 

Dept. of Mathematics, Dibrugarh University, Dibrugarh 786004, India

Corresponding Author Email: 
palash.dtt@gmail.com
Page: 
137-152
|
DOI: 
https://doi.org/10.18280/ama_a.540201
Received: 
21 September 2017
| |
Accepted: 
23 September 2017
| | Citation

OPEN ACCESS

Abstract: 

Most repeatedly uncertainties are encountered in medical diagnosis and consequently it becomes the most imperative and fascinating area of applications of fuzzy set theory. In literature, it is seen that application of type-I fuzzy and intuitionistic fuzzy set (IFS) in medical diagnosis is a commonly use area of research among the researchers. In IFS membership and non-membership degrees are considered but one important concept, i.e., degree of neutrality has not been considered. That’s why picture fuzzy sets (PFS) may come into picture.  In this present article, an attempt has been made to carry out medical diagnosis using the distance measure on PFSs and finally, exhibit the technique with a suitable case study.

Keywords: 

Medical diagnosis, Uncertainty, Fuzzy set, Picture fuzzy set, Distance measure.

1. Introduction
2. Preliminaries
3. Case Study
4. Results and Discussion
5. Conclusion
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