A MEDICAL DIAGNOSIS BASED ON INTERVAL-VALUED FUZZY SETS

Hye Mi Choi · Gil Seong Mun · Jeong-Yong Ahn

31 citations0/0 files storedBiomedical Engineering Applications Basis and Communications

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Fuzzy and Soft Set Theory Multi-Criteria Decision Making Artificial Intelligence in Healthcare

Abstract

In this paper, we propose a fuzzy diagnostic method based on interval-valued intuitionistic fuzzy sets. For this purpose, we developed an interval-valued interview chart with interval fuzzy degree assigned to the relation among symptoms and diseases, and utilized the interval-valued intuitionistic fuzzy weighted arithmetic average operator to aggregate fuzzy information from the symptoms. In addition, we suggest a diagnosis measure using the occurrence proportion of patient's symptoms. Finally, an illustrative example is given to demonstrate its practicality and effectiveness.

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1965Fuzzy sets 1996Fuzzy sets 1986Intuitionistic fuzzy sets 1989Interval valued intuitionistic fuzzy sets 2019Interval-Valued Intuitionistic Fuzzy Sets 1980Advances in Fuzzy Set Theory and Applications 2001An application of intuitionistic fuzzy sets in medical diagnosis 2007Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making

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2019Multi-criteria decision making under uncertainty via the operations of generalized intuitionistic fuzzy numbers

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