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Analysis and Control of Blood Glucose Situation for Diabetic Patients Based on Interval Type-2 Fuzzy Sets

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Abstract

For diabetes mellitus (DM), the technology of blood glucose monitoring provides detection information for patients and helps sufferers to ameliorate bad states. Management rules and intervention measures, which are consistent with blood glucose situation, help to control blood glucose stability, establish a healthy lifestyle, and prevent the occurrence of DM complications. Formulating effective rules and measures is the key to the blood sugar management. What is more, the analysis of blood glucose situation is beneficial to the formulation of management rules and intervention measures. In this paper, interval type-2 fuzzy sets (IT2 FSs) and fuzzy comprehension evaluation are applied in the analysis of blood sugar situation. Moreover, dynamic fuzzy rules are built to provide the corresponding blood glucose management rules. Linguistic dynamic systems (LDS) are used to describe and analyze the evolution process of blood glucose situation. Finally, the analysis results indicate the method is applicable and valuable for actual management.

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Authors and Affiliations

  1. College of Electric and Information Engineering, Changsha University of Science and Technology, Changsha, China

    Chen Liu & Hong Mo

  2. The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Fei-Yue Wang

  3. The Center of China Economic and Social Security, The University of Chinese Academy of Sciences, Beijing, China

    Fei-Yue Wang

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  1. Chen Liu
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  2. Hong Mo
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  3. Fei-Yue Wang
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Correspondence to Hong Mo.

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Liu, C., Mo, H. & Wang, FY. Analysis and Control of Blood Glucose Situation for Diabetic Patients Based on Interval Type-2 Fuzzy Sets. Int. J. Fuzzy Syst. 23, 1179–1193 (2021). https://doi.org/10.1007/s40815-020-00918-6

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