Chikungunya Diagnosing using Rough Set Approach

Chikungunya (CHIK) virus, the same as infectious disease, a significant threat in Tropics and one in all the foremost widespread insect-borne diseases famous nowadays, owing to the presence of Aedes Aegypti mosquitoes. Once a year Chikungunya has been moving the several individuals. During this paper, Rough pure mathematics introduced by Pawlak(1982) is used to extract the choice rule from given information. During this approach call, rules area unit derived from conditional attributes in a rough set analysis in accounting victimization the rule. This important choice of attributes in Chikungunya knowledge set contributes to the great for knowledge unclearness and uncertainty in doubtless reducing knowledge assortment to manage inconsistent issues. The results of a study indicate that victimization this methodology will scale back surplus attributes for the Chikungunya diagnosing supported patient’s condition and aim to enhance their detection performance. The deciding factors for Chikungunya area unit found to lead to characteristic itssymptoms. These may be used to predict the presence or absence of unwellness, Chikungunya. The system produces considerable accuracy and is a valuable tool for physicians.