Decision Making in Medical Diagnosis via Distance Measures on Interval Valued Fuzzy Sets

Palash Dutta
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Palash Dutta: Dibrugarh University, Assam, India

International Journal of System Dynamics Applications (IJSDA), 2017, vol. 6, issue 4, 63-83

Abstract: The uncertain and sometimes 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 set theory (FST), intuitionistic fuzzy set (IFS) and interval valued fuzzy set (IVFS). In this present study, first resemblance between IFS and IVFS has been established along with reviewed some existing distance measures for IFSs. Later, an attempt has been made to derive distance measures for IVFSs from IFSs and establish some properties on distance measures of IVFSs. Finally, medical diagnosis has been carried out and exhibits the techniques with a case study under this setting.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jsda00:v:6:y:2017:i:4:p:63-83

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