Fuzzy Logic Applications in Computer Science and Mathematics

15Analysis of Parameters Related to Malaria with Comparative Study on Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps

Regan Murugesan¹*, Sathish Kumar Kumaravel¹, Kala Raja Mohan¹, Narmada Devi Rathinam¹ and Suresh Rasappan²

¹Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India

²Mathematics Section, College of Technology and Information Sciences, University of Technology and Applied Sciences - Ibri, Ibri, Sultanate of Oman

Abstract

In this paper, a comparative study is made on different parameters which are related to malaria disease, such as fever, headaches, nausea etc., by using FCM and NCM methods and conclusion are derived to predict the spread of disease. As a result of this study, the parameters involved in the spread of these diseases are identified, and the prevention parameters are concluded. The major benefits of this comparative study are to identify the parameters which are inconclusive, applying the concept of fuzzy and neutrosophic cognitive maps.

Keywords: Fuzzy matrix, fuzzy cognitive map, neutrosophic cognitive map, malaria

15.1 Introduction

Malaria is a disease caused by the transmission of parasites. This transmission is done by the mosquitoes which results in illness of humans. The infected mosquitoes transmit the parasite known as plasmodium. A high share of the burden on malaria burden is found at the African region. In the region, around 95 percentages of malaria ...