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

Shirali, Mehdi; Madmoli, Yaghoob; Roohafza, Jamal; Karimi, Hamid; Baboli Bahmaei, Arman; Ertebati, Sharif

Volume 15, Issue 3 (2-2016) ijdld 2016, 15(3): 172-176 | Back to browse issues page

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Shirali M, Madmoli Y, Roohafza J, Karimi H, Baboli Bahmaei A, Ertebati S. IMPROVEMENT DIAGNOSIS OF DIABETES USING A COMBINATION OF SUGENO FUZZY INFERENCE SYSTEMS AND FIREFLY ALGORITHMS. ijdld 2016; 15 (3) :172-176
URL: http://ijdld.tums.ac.ir/article-1-5344-en.html

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

Mehdi Shirali¹

, Yaghoob Madmoli²

, Jamal Roohafza ^*

³, Hamid Karimi⁴

, Arman Baboli Bahmaei²

, Sharif Ertebati²

1- Student in Electrical Engineering, Bushehr Islamic Azad University, Bushehr, Iran
2- Student Research Committee, Dezful University of Medical Sciences, Dezful, Iran
3- Student Research Committee, Dezful University of Medical Sciences, Dezful, Iran , roohafzaj@gmail.com
4- Subspecialist of Endocrine, Growth and Metabolism, Faculty member of Dezful University of Medical Sciences, Dezful, Iran

Abstract: (8420 Views)

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.

Keywords: Diagnosis of diabetes, Inference System, Sugeno, intelligent algorithms, Firefly

Full-Text [PDF 289 kb] (4237 Downloads)

Type of Study: Applicable | Subject: Special
Received: 2015/05/25 | Accepted: 2015/09/8 | Published: 2016/04/20