Fuzzy Rule Based System to predict COVID19 – A Deadly Virus
Deepak Painuli1, Divya Mishra2, Suyash Bhardwaj3, Mayank Aggarwal4

1Deepak Painuli, Research Scholar, Gurukul Kangri Vishwavidyalaya, Haridwar, Uttarakhand, India.
2Divya Mishra, Research Scholar, Uttarakhand Technical University, Uttarakhand, India.
3Suyash Bhardwaj, Assistant Professor, Gurukul Kangri Vishwavidyalaya, Haridwar, Uttarakhand, India.
4Mayank Aggarwal*, Associate Professor, Gurukul Kangri Vishwavidyalaya, Haridwar, Uttarakhand, India.
Manuscript received on April 11, 2020. | Revised Manuscript Received on April 15, 2020. | Manuscript published on April 15, 2020. | PP: 78-82 | Volume-4 Issue-8, April 2020. | Retrieval Number: H0781044820//2020©BEIESP | DOI: 10.35940/ijmh.H0781.044820

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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Around four lakh confirmed cases and more than one lakh eighty nine thousand death worldwide due to a virus called Coronavirus causing a respiratory disease “COVID19” were registered from 1st December 2019 to 25th March 2020 and it has been declared as pandemic by World Health Organization. This paper proposed a fuzzy rule based system which is used with MATLAB tools for simulations to give predictions related to whether one is suffering from Covid19 or not. At present, the testing kits of Covid19 are very limited and they take lot of time to give results but our proposed system can be used in initial predictions, which can save both time and money. This system is based on fifteen rules developed on the basis of guidelines given by World Health Organization and other Health agencies. The results given by the system are very promising and can be used to prevent testing and save time which is very crucial to save life of one and stop it from spreading further.
Keywords: COVID19, Virus, Respiratory Disease, Fuzzy Logic, Simulation Fuzzy rule based system, Expert System, MATLAB.