Abstract: “Temperature prediction could be a temporal and statistic based mostly method. Weather prediction has drawn heap of analysis interest in recent years. The prediction of temperature has essential applications in numerous fields like climate watching, weather prediction, agriculture, energy, aviation, communication, pollution spread etc. The fuzzy aggregation has powerful logic expression ability and is in a position to precise inaccurate and unsure in sequence. during this paper, a Fuzzy data – Rule base technique is employed to predict the close part temperature for Indian coastal cities. The current study utilizes historical temperature likewise as info of varied meteorologic parameters to develop a prediction method in fuzzy rule domain to estimate temperature. Daily observations of Mean water level Pressure, ratio and Temperature for all three seasons area unit analyzed to predict the Temperature for a given values of Mean water level Pressure and ratio. Symbolic logic has principall”

Keywords: Event, fuzzy logic, time series analysis, time series data mining