The aim of this research is to develop an efficient system which will identify the probability of dengue occurrence in Dhaka, Bangladesh based on a neural network system and fuzzy inference algorithm. When using fuzzy inference technique, we separated the dengue cases into four quadrants of 3 months in a year. Based on dengue infection rate each quadrant is classified from high to low. An adaptive neuro based fuzzy inference system provides the insight for implementing fuzzy rules. Then we analyze the performances using fuzzy logic and ANFIS to point out the percentage of infected rate.
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