61a804cc-abfc-4531-a0d2-2ccaa678d532 beie director@blueeyesintelligence.org 10.35940/ijitee.A9628.1111121 10.1016/j.techfore.2018.07.043Yadegaridehkordi, Elaheh, et al. "Influence of big data adoption on manufacturing companies' performance: An integrated DEMATEL-ANFIS approach." Technological forecasting and social change 137 (2018): 199-210.Semenova, Olena O., et al. "Genetic ANFIS for scheduling in telecommunication networks." Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018. Vol. 10808. International Society for Optics and Photonics, 2018.10.1080/10916466.2018.1446176Mir, Mahdi, et al. "Applying ANFIS-PSO algorithm as a novel accurate approach for prediction of gas density." Petroleum Science and Technology 36.12 (2018): 820-826.10.1088/1742-6596/978/1/012019Husein, A. M., et al. "The implementation of two stages clustering (k-means clustering and adaptive neuro fuzzy inference system) for prediction of medicine need based on medical data." Journal of Physics: Conference Series. Vol. 978. No. 1. IOP Publishing, 2018.10.1007/s10479-021-04006-2Alizadehsani, Roohallah, et al. "Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)." Annals of Operations Research (2021): 1-42.10.1016/j.ceh.2020.11.001Thakkar, Harshil, et al. "Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis." Clinical eHealth 4 (2021): 12-23.10.1016/j.engappai.2020.103916Mittal, Kanika, et al. "A comprehensive review on type 2 fuzzy logic applications: Past, present and future." Engineering Applications of Artificial Intelligence 95 (2020): 103916.10.1016/j.cmpb.2018.04.013Ahmadi, Hossein, et al. "Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review." Computer Methods and Programs in Biomedicine 161 (2018): 145-172.10.1016/j.engappai.2019.08.010Ojha, Varun, Ajith Abraham, and Václav Snášel. "Heuristic design of fuzzy inference systems: A review of three decades of research." Engineering Applications of Artificial Intelligence 85 (2019): 845-864.10.2174/1573405613666161216122938Kumarganesh, S., and M. Suganthi. "An enhanced medical diagnosis sustainable system for brain tumor detection and segmentation using ANFIS classifier." Current Medical Imaging 14.2 (2018): 271-279.10.1007/s42979-021-00710-9Bali, Bulus, and Etemi Joshua Garba. "Neuro-fuzzy Approach for Prediction of Neurological Disorders: A Systematic Review." SN Computer Science 2.4 (2021): 1-11.10.21203/rs.3.rs-30432/v1Alabool, Hamzeh, et al. "Artificial intelligence techniques for containment COVID-19 pandemic: a systematic review." (2020).10.1007/s10462-020-09804-xKour, Haneet, Jatinder Manhas, and Vinod Sharma. "Usage and implementation of neuro-fuzzy systems for classification and prediction in the diagnosis of different types of medical disorders: a decade review." Artificial Intelligence Review 53.7 (2020): 4651-4706.10.1016/j.asoc.2013.10.014Kar, Samarjit, Sujit Das, and PijushKanti Ghosh. "Applications of neuro fuzzy systems: A brief review and future outline." Applied Soft Computing 15 (2014): 243-259.10.1098/rsif.2017.0821Lyon, Aurore, et al. "Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances." Journal of The Royal Society Interface 15.138 (2018): 20170821.10.1155/2015/919805Chen, Zhijia, et al. "Self-adaptive prediction of cloud resource demands using ensemble model and subtractive-fuzzy clustering based fuzzy neural network." Computational intelligence and neuroscience 2015 (2015).10.1016/j.catena.2017.05.034Chen, Wei, Mahdi Panahi, and Hamid Reza Pourghasemi. "Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling." Catena 157 (2017): 310-324.10.1016/B978-0-12-821350-6.00005-6Lassoued, Hela, and Raouf Ketata. "Genetic fuzzy logic based system for arrhythmia classification." Control Theory in Biomedical Engineering. Academic Press, 2020. 105-127.10.1109/ASET.2018.8379901Lassoued, Hela, and Raouf Ketata. "ECG multi-class classification using neural network as machine learning model." 2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET). IEEE, 2018.10.21307/ijssis-2018-029Lassoued, Hela, Raouf Ketata, and Slim Yacoub. "ECG decision support system based on feedforward neural networks." International Journal on Smart Sensing and Intelligent Systems 11.1 (2018): 1-13.10.1109/51.932724Moody, George B., and Roger G. Mark. "The impact of the MIT-BIH arrhythmia database." IEEE Engineering in Medicine and Biology Magazine 20.3 (2001): 45-50.Lassoued, Hela, and Raouf Ketata. "Hybrid Two Stage Neuro Genetic System for Arrhythmia Diagnosis." IJCSNS 18.9 (2018): 31.Shen, Tsu-Wang, W. J. Tompkins, and Y. H. Hu. "One-lead ECG for identity verification." Proceedings of the second joint 24th annual conference and the annual fall meeting of the biomedical engineering society][engineering in medicine and biology. Vol. 1. IEEE, 2002.Lassoued, Hela, and Raouf KETATA. "Artificial Neural Network classifier for heartbeat arrhythmia detection." Proceedings of Engineering and Technology-PET. Vol. 22. 2017.10.1038/nbt0308-303Ringnér, Markus. "What is principal component analysis?." Nature biotechnology 26.3 (2008): 303-304.Association for the Advancement of Medical Instrumentation. Diagnostic electrocardiographic devices. Association for the Advancement of Medical Instrumentation (AAMI), 1986.10.1109/91.983279Buse, Richard, Zhi-Qiang Liu, and Jim Bezdek. "Word recognition using fuzzy logic." Ieee transactions on fuzzy systems 10.1 (2002): 65-76.10.1016/j.procs.2015.06.090Dhanachandra, Nameirakpam, KhumanthemManglem, and YambemJinaChanu. "Image segmentation using K-means clustering algorithm and subtractive clustering algorithm." Procedia Computer Science 54 (2015): 764-771.Kennedy, James, and Russell Eberhart. "Particle swarm optimization." Proceedings of ICNN'95-international conference on neural networks. Vol. 4. IEEE, 1995.Mostapha Kalami Heris, Evolutionary ANFIS Training in MATLAB (URL: https://yarpiz.com/319/ypfz104-evolutionary-anfis-training), Yarpiz, 2015.