DEVELOPMENT OF A FUZZY LOGIC BASED PREDICTIVE MODEL FOR THE RISK OF LASSA FEVER

OJOMO, ABIOLA OLUWAJUBE

dc.contributor.author	OJOMO, ABIOLA OLUWAJUBE
dc.date.accessioned	2022-06-21T07:58:55Z
dc.date.available	2022-06-21T07:58:55Z
dc.date.issued	2020
dc.identifier.citation	OJOMO ABIOLA OLUWAJUBE (2020). DEVELOPMENT OF A FUZZY LOGIC BASED PREDICTIVE MODEL FOR THE RISK OF LASSA FEVER.	en_US
dc.identifier.other	15010301028
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/151
dc.description.abstract	A fuzzy logic-based system has been applied to a number of medical cases, particularly in the area of diagnostic system development, and has been discovered to produce precise results. This paper introduces a fuzzy logic-based method used to simulate a prediction model for the prediction of Lassa fever among individuals. The results of variable fuzzification and defuzzification, inference engine description and model testing were presented and showed that the model based on fuzzy logic would be very useful in predicting the probability of Lassa fever among individuals.	en_US
dc.language.iso	en	en_US
dc.publisher	Mountain Top University	en_US
dc.subject	fuzzy logic	en_US
dc.subject	prediction model	en_US
dc.subject	lassa fever	en_US
dc.title	DEVELOPMENT OF A FUZZY LOGIC BASED PREDICTIVE MODEL FOR THE RISK OF LASSA FEVER	en_US
dc.type	Other	en_US