Home Articles List Article Information
JES. Journal of Engineering Sciences
Journal Archive
Volume Volume 53 (2025)
Volume Volume 52 (2024)
Volume Volume 51 (2023)
Volume Volume 50 (2022)
Volume Volume 49 (2021)
Volume Volume 48 (2020)
Volume Volume 47 (2019)
Volume Volume 46 (2018)
Volume Volume 45 (2017)
Volume Volume 44 (2016)
Volume Volume 43 (2015)
Volume Volume 42 (2014)
Volume Volume 41 (2013)
Volume Volume 40 (2012)
Volume Volume 39 (2011)
Volume Volume 38 (2010)
Volume Volume 37 (2009)
Volume Volume 36 (2008)
Volume Volume 35 (2007)
Volume Volume 34 (2006)
El-Bardini, M., El-Nagar, A., El-Rabaie, N. (2010). INTERVAL TYPE-2 FUZZY LOGIC CONTROL FOR THE MULTIVARIABLE ANAESTHESIA SYSTEM. JES. Journal of Engineering Sciences, 38(No 6), 1485-1506. doi: 10.21608/jesaun.2010.125571
Mohammad El-Bardini; Ahmad M. El-Nagar; Nabila M. El-Rabaie. "INTERVAL TYPE-2 FUZZY LOGIC CONTROL FOR THE MULTIVARIABLE ANAESTHESIA SYSTEM". JES. Journal of Engineering Sciences, 38, No 6, 2010, 1485-1506. doi: 10.21608/jesaun.2010.125571
El-Bardini, M., El-Nagar, A., El-Rabaie, N. (2010). 'INTERVAL TYPE-2 FUZZY LOGIC CONTROL FOR THE MULTIVARIABLE ANAESTHESIA SYSTEM', JES. Journal of Engineering Sciences, 38(No 6), pp. 1485-1506. doi: 10.21608/jesaun.2010.125571
El-Bardini, M., El-Nagar, A., El-Rabaie, N. INTERVAL TYPE-2 FUZZY LOGIC CONTROL FOR THE MULTIVARIABLE ANAESTHESIA SYSTEM. JES. Journal of Engineering Sciences, 2010; 38(No 6): 1485-1506. doi: 10.21608/jesaun.2010.125571

INTERVAL TYPE-2 FUZZY LOGIC CONTROL FOR THE MULTIVARIABLE ANAESTHESIA SYSTEM

Article 7, Volume 38, No 6, November and December 2010, Page 1485-1506  XML PDF (1.27 MB)
Document Type: Research Paper
DOI: 10.21608/jesaun.2010.125571
View on SCiNiTO View on SCiNiTO
Authors
Mohammad El-Bardini; Ahmad M. El-Nagar; Nabila M. El-Rabaie
Faculty of Electronic Engineering, Menouf, 32852, Egypt
Abstract
Interval type-2 fuzzy sets are able to model and minimize the numerical and linguistic uncertainties associated with the inputs and outputs of the fuzzy logic controller (FLC). The main objective of this paper is to implement an interval type-2 FLC for controlling the multivariable anaesthesia system to overcome the uncertainty problem that introduced by large inter-individual and intra-individual variability of the patient's parameters. Simulation results show good performance over a wide range of inter and intra-individual variability of parameters. Also these show good performance under the effect of disturbance and noise environment. Results also show the interval type-2 FLC affords some improvements in performance over type-1 FLC.
Keywords
Anaesthesia system; Interval Type-2 fuzzy sets; Interval type-2 FLC
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
Statistics
Article View: 131
PDF Download: 444