DocumentCode
725278
Title
Comparative study of Mamdani-type and Sugeno-type fuzzy inference systems for diagnosis of diabetes
Author
Singla, Jimmy
Author_Institution
Punjab Tech. Univ., Jalandhar, India
fYear
2015
fDate
19-20 March 2015
Firstpage
517
Lastpage
522
Abstract
Fuzzy inference systems for diagnosis of diabetes are developed using Mamdani-type and Sugeno-type fuzzy models. The outcome obtained by two fuzzy inference systems is evaluated. This paper summarizes the essential variation among the Mamdani-type and Sugeno-type fuzzy inference systems. MATLAB fuzzy logic toolbox is used for the simulation of both the models. This also confirms which one is a superior choice of the two fuzzy inference systems for diagnosis of diabetes.
Keywords
diseases; fuzzy logic; fuzzy reasoning; medical computing; patient diagnosis; MATLAB fuzzy logic toolbox; Mamdani-type fuzzy inference systems; Sugeno-type fuzzy inference systems; diabetes diagnosis; Computational modeling; Diabetes; Fuzzy logic; History; Insulin; Obesity; Sugar; diabetes; fuzzy inference system; mamdani; sugeno;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location
Ghaziabad
Type
conf
DOI
10.1109/ICACEA.2015.7164799
Filename
7164799
Link To Document