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

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SHIRALI MEHDI; MADMOLI YAGHOOB; ROOHAFZA JAMAL; KARIMI HAMID; BABOLI BAHMAEI ARMAN; ERTEBATI SHARIF

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Journal: Iranian Journal of Diabetes and Metabolism Year:2016 | Volume:15 | Issue:3 Page(s): 172-176

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Title

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

Author(s)

Keywords

DIAGNOSIS OF DIABETESQ2

INFERENCE SYSTEMQ2

SUGENOQ2

INTELLIGENT ALGORITHMSQ2

FIREFLYQ2

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.

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APA: Copy

SHIRALI, MEHDI, MADMOLI, YAGHOOB, ROOHAFZA, JAMAL, KARIMI, HAMID, BABOLI BAHMAEI, ARMAN, & ERTEBATI, SHARIF. (2016). IMPROVEMENT DIAGNOSIS OF DIABETES USING A COMBINATION OF SUGENO FUZZY INFERENCE SYSTEMS AND FIREFLY ALGORITHMS. JOURNAL OF DIABETES AND METABOLIC DISORDERS, 15(3), 172-176. SID. https://sid.ir/paper/53991/en

Vancouver: Copy

SHIRALI MEHDI, MADMOLI YAGHOOB, ROOHAFZA JAMAL, KARIMI HAMID, BABOLI BAHMAEI ARMAN, ERTEBATI SHARIF. IMPROVEMENT DIAGNOSIS OF DIABETES USING A COMBINATION OF SUGENO FUZZY INFERENCE SYSTEMS AND FIREFLY ALGORITHMS. JOURNAL OF DIABETES AND METABOLIC DISORDERS[Internet]. 2016;15(3):172-176. Available from: https://sid.ir/paper/53991/en

IEEE: Copy

MEHDI SHIRALI, YAGHOOB MADMOLI, JAMAL ROOHAFZA, HAMID KARIMI, ARMAN BABOLI BAHMAEI, and SHARIF ERTEBATI, “IMPROVEMENT DIAGNOSIS OF DIABETES USING A COMBINATION OF SUGENO FUZZY INFERENCE SYSTEMS AND FIREFLY ALGORITHMS,” JOURNAL OF DIABETES AND METABOLIC DISORDERS, vol. 15, no. 3, pp. 172–176, 2016, [Online]. Available: https://sid.ir/paper/53991/en

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