Paper Information

Journal:   JOURNAL OF DIABETES AND METABOLIC DISORDERS   FEBRUARY-MARCH 2016 , Volume 15 , Number 3; Page(s) 172 To 176.
 
Paper: 

IMPROVEMENT DIAGNOSIS OF DIABETES USING A COMBINATION OF SUGENO FUZZY INFERENCE SYSTEMS AND FIREFLY ALGORITHMS

 
 
Author(s):  SHIRALI MEHDI, MADMOLI YAGHOOB, ROOHAFZA JAMAL*, KARIMI HAMID, BABOLI BAHMAEI ARMAN, ERTEBATI SHARIF
 
* KHUZESTAN, RAMHORMOZ, SALMAN FARSI ALLEY, GHOLAM REZA JALALI MARTYR ALLEY, POSTAL CODE: 638167431
 
Abstract: 

Background: Diabetes is a chronic disease that comes into existence results in a disruption in the production and function of insulin in the body. Diabetes is a serious disease of modern societies and its on-time diagnosis have important role in the treatment of disease.So this study aimed to assess improvement diagnosis of diabetes using a combination of sugeno fuzzy inference systems and firefly algorithms.
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.

 
Keyword(s): DIAGNOSIS OF DIABETES, INFERENCE SYSTEM, SUGENO, INTELLIGENT ALGORITHMS, FIREFLY
 
References: 
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