DEVELOPMENT OF A FUZZY LOGIC MODEL FOR PREDICTING THE LIKELIHOOD OF CHOLERA DISEASE
Journal Title: World Journal of Engineering Research and Technology - Year 2018, Vol 4, Issue 5
Abstract
Water-borne diseases such as cholera often leads to other devastating illnesses. Most existing works developed a number of predictive models for environmental health related diseases with less emphasis on water-borne diseases. Hence, this research developed predictive model for cholera disease using Fuzzy Logic (FL).
Authors and Affiliations
A. A. Aroyehun
Keywords
Related Articles
- EP ID EP662821
- DOI -
- Views 167
- Downloads 0
NUMERICAL INVESTIGATION OF BLOOD FLOW THROUGH STENOTIC ARTERY
The aim of this paper is to investigate the significance of stenosis effects on blood flow and measures the non-Newtonian characteristics of blood flow in blood vessels. At present work, the models are studied for the Ne...
HYBRID POWER SYSTEM FOR PSO TUNED LOAD FREQUENCY CONTROL
This paper deals with the Particle Swarm Optimisation (PSO) tuned Load Frequency Control (LFC) of single area power system, with diversified power sources. The diversified generating units considered for the purpose of L...
BLACK HOLE (A REVIEW)
In this paper we present the formation of black hole and general detail on black hole. A black hole is a place where gravity has gotten so strong that the escape velocity is faster than light. Einstein’s general theory o...
DEVELOPMENT OF INTERPERSONAL COMPETENCES BY QUALITATIVE RESEARCH METHODS
Change is the law of nature. Nothing can remain same and this change can be possible only by the ways of research. Research is an experimental process for any specific problem and really it inspires to go ahead. No doubt...
STRATEGY TO IDENTIFY COGNITIVE LEVEL OF QUESTION USING BLOOM'S TAXONOMY
An important component of question answering systems is question categorization. Questions are provided to fulfill learning objectives in the subject content learned by students. Challenging thing in question answering s...