An application of intuitionistic fuzzy sets in medical diagnosis

By S. K. De, R. Biswas, Akhil Ranjan Roy. Fuzzy Sets Syst., 2001

986 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/05e5245697993d8136bb0c964d8ff108833d413a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Management Science and Operations Research

Citations in the corpus

Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance (2004, background): “All rights reserv doi:10.1016/j.patrec.2004.06.006 areas such as logic programming (cf. Atanassov and Gargov, 1990; Atanassov and Georgeiv, 1993), decision making problems (Szmidt and Kacprzyk, 1996) and in medical diagnostics (De et al., 2001), etc.”
Intuitionistic preference relations and their application in group decision making (2007, methodology): “[17] studied Sanchez’s approach for medical diagnosis using intuitionistic fuzzy sets.”
Strong Intuitionistic Fuzzy Graphs (2012, background): “Intuitionistic fuzzy sets have been applied in a wide variety of fields including computer science, engineering, mathematics, medicine, chemistry and economics [5, 13].”
A multicriteria intuitionistic fuzzy group decision making for plant location selection with ELECTRE method (2012, methodology): “De [28] used intuitionistic fuzzy set theory in medical diagnosis.”
A Similarity Measure for Intuitionistic Fuzzy Sets and Its Application in Supporting Medical Diagnostic Reasoning (2004, critical): “This weighting scheme is impossible in the method proposed by De, Biswas and Roy [3] because the max-min-max rule \neglects" in fact most values except for the extreme ones.”
NOTE ON FUZZY SETS (2014, methodology): “[4] presented an application of intuitive fuzzy sets for decision making problems.”
A Historical Account of Types of Fuzzy Sets and Their Relationships (2016, background): “In general, they work very well in problems in which we have to represent the difference between the positive and the negative representation of something [37], in particular in cognitive psychology and medicine [19].”
Intuitionistic Fuzzy Analytic Hierarchy Process (2014, background): “applied to many different fields, such as decision making [23], [26]–[29], fuzzy logics [30], fuzzy cognitive maps [31], fuzzy hardware [32], topological space [33], medical diagnosis [34], and pattern recognition [35].”
Intuitionistic fuzzy information - Applications to pattern recognition (2007, methodology): “Let us consider the same data as in (De et al., 2001; Szmidt and Kacprzyk, 2001c,b, 2004a), consisting of a set of patients P = {Al, Bob, Joe, Ted}, a set of diagnoses D = {Viral fever, Malaria, Typhoid, Stomach problem, Chest pain}, and a set of symptoms S = {Temperature, Headache, Stomach pain,…”