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Medical Diagnosis Via Distances Measures Between Credibility Distributions

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  • Palash Dutta

    (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.

Suggested Citation

  • Palash Dutta, 2018. "Medical Diagnosis Via Distances Measures Between Credibility Distributions," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 10(4), pages 1-16, October.
    • Handle: RePEc:igg:jdsst0:v:10:y:2018:i:4:p:1-16
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.2018100101
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