2019
DOI: 10.1007/978-981-13-8798-2_13
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Medical Diagnosis Under Uncertain Environment Through Bipolar-Valued Fuzzy Sets

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Cited by 5 publications
(2 citation statements)
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“…More recent literature have focused the application of fuzzy set theory and its generalizations on handling uncertainty in different domains which include: intelligent selection of supplier of medical consumption-related products [23], determination of school enrollment for students [24], aggregating expert opinions on the effective finding of Top Event (TE) in industrial processes [25], applied medical diagnosis [26], resolving uncertainties in medical prognosis and diagnosis [27], improving medical diagnosis [28], forecasting of surface roughness [29], and resolving uncertainties in medical diagnosis [30][31][32].…”
Section: Introductionmentioning
confidence: 99%
“…More recent literature have focused the application of fuzzy set theory and its generalizations on handling uncertainty in different domains which include: intelligent selection of supplier of medical consumption-related products [23], determination of school enrollment for students [24], aggregating expert opinions on the effective finding of Top Event (TE) in industrial processes [25], applied medical diagnosis [26], resolving uncertainties in medical prognosis and diagnosis [27], improving medical diagnosis [28], forecasting of surface roughness [29], and resolving uncertainties in medical diagnosis [30][31][32].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, fuzzy sets are explored to represent uncertainty and to perform medical diagnosis as well [16]. Some recent development in medical diagnosis can also be encountered in [17][18][19][20][21][22][23][24]. Afterwards Zadeh [25] himself developed possibility theory which was thought to be Electronic supplementary material The online version of this article (https ://doi.org/10.1007/s4245 2-019-1871-8) contains supplementary material, which is available to authorized users.…”
Section: Introductionmentioning
confidence: 99%