Background: Today many people are likely to have diabetes. Diabetes is a serious disease of modern societies and its on-time diagnosis have important role in the treatment of disease. Methods: In this paper, using Sugeno fuzzy inference systems and intelligent algorithms Firefly, a new method is presented for the detection of diabetes. The proposed method enables the use of a few simple fuzzy rules to detect diabetes with good accuracy. Results: Sugeno fuzzy inference system and firefly algorithm com
Background: Today many people are likely to have diabetes. Diabetes is a serious disease of modern societies and its on-time diagnosis have important role in the treatment of disease.
Methods: In this paper, using Sugeno fuzzy inference systems and intelligent algorithms Firefly, a new method is presented for the detection of diabetes. The proposed method enables the use of a few simple fuzzy rules to detect diabetes with good accuracy.
Results: Sugeno fuzzy inference system and firefly algorithm combines efficiency was 87.24 percent.
Conclusion: Experimental results show that this method deals on the data set is more accurate than the standard PID algorithm in this field.
bines efficiency was 87.24 percent. Conclusion: Experimental results show that this method deals on the data set is more accurate than the standard PID algorithm in this field.
