Applying GA Optimization Algorithm for Interval Type-2 Fuzzy Logic Controller Parameters of Multivariable Anesthesia System

被引：0
作者：
Taheriyan, Fatemeh [1 ]
Ghafourian, Mandana Sadat [1 ]
Noori, Amin [2 ]
机构：
[1] KN Toosi Univ Technol, Fac Elect Engn, Tehran, Iran
[2] Sadjad Univ Technol, Fac Elect & Biomed Engn, Mashhad, Razavi Khorasan, Iran
来源：
26TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE 2018) | 2018年
关键词：
anesthesia; genetic algorithm (GA); interval type-2 fuzzy logic controller (IT2-FLC); SETS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Controlling the depth of anesthesia is vital for avoiding underdosing and overdosing drugs during surgical procedures. Interval type-2 fuzzy logic controller (1T2-FLC) can be used for the automatic control of anesthesia that is able to overcome the uncertainty problem which is inherited from the large inter and intra-individual variability of the patient's parameters. Since finding the optimal set of rules is difficult, genetic algorithm (GA) is used for regulating the center of the output interval type-2 fuzzy sets in this paper. At last, the results of this controller are compared with pure 1T2-FLC. Simulation results show that 1T2FLC with GA affords some improvements in performance over pure 1T2-FLC.
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页码：1613 / 1618
页数：6
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