A Similarity Measure for Intuitionistic Fuzzy Sets and Its Application in Supporting Medical Diagnostic Reasoning

By Eulalia Szmidt, Janusz Kacprzyk. International Conference on Artificial Intelligence and Soft Computing, 2004

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Intuitionistic fuzzy information - Applications to pattern recognition (2007, methodology): “In (Szmidt and Kacprzyk, 2001b, 2004a) a comparison between different methods for medical diagnosis based on IFSs theory was carried out.”
Intuitionistic and interval-valued intutionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group (2009, methodology): “To overcome this drawback, Szmidt and Kacprzyk (2004a) proposed a similarity measure, which involves both similarity and dissimilarity between IFSs, and showed its usefulness in medical diagnostic reasoning.”
An Overview of Distance and Similarity Measures of Intuitionistic Fuzzy Sets (2008, background): “The similarity measure (13) involves both similarity and dissimilarity, and has the following properties [23]:”
On distance and correlation measures of hesitant fuzzy information (2011, background): “Szmidt and Kacprzyk 15 discussed a concept of correlation for data represented as intuitionistic fuzzy set adopting the concepts from statistics, proposed a formula for measuring the correlation coefﬁcient (lying in [ − 1 , 1]) of intuitionistic fuzzy sets and showed the importance to take into acco”