Affiliation:
1. Dept. of Mathematics, Dibrugarh University, Dibrugarh, India
Abstract
The uncertain, vague, imprecise nature of medical documentation and information make the field of medical diagnosis is the most important and interesting area for applications of fuzzy variables. Furthermore, due to lots of factors to analyze for the diagnosis of the disease makes the doctor/physician's work complicated. In literature, most of medical diagnosis problems are fuzzy variables-based methods. However, no attempt has been seen using a credibility theory. This article presents a maiden effort to carry out medical diagnoses using distance measures between credibility distributions of fuzzy variables. Furthermore, some properties of distance measures on credibility distributions are also studied.
Subject
Modeling and Simulation,General Computer Science
Cited by
4 articles.
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1. Parabolic fuzzy variables and their some properties: A comparative SWOT up;INTERNATIONAL CONFERENCE ON RECENT TRENDS IN APPLIED MATHEMATICAL SCIENCES (ICRTAMS-2020);2021
2. Decision Making for Medical Diagnosis Through Credibility Theory;Recent Advances in Intelligent Information Systems and Applied Mathematics;2020
3. Research on Consensus Mechanism of Diagnosis and Treatment Conclusion of Consultation;Proceedings of the Fourteenth International Conference on Management Science and Engineering Management;2020
4. Mathematics of uncertainty: an exploration on semi-elliptic fuzzy variable and its properties;SN Applied Sciences;2019-12-19