PREDICTION OF MONSOON RAINFALL DISPERSION WITH FUZZY EXPERT SYSTEM

Author Reg. ID: TIJER_151358

Published Paper Id: TIJER2403002

Published In: Volume 11 Issue 3, March-2024

Abstract: Seasonal weather forecasting has the potential to play a significant role in enhancing end users’ resilience to the impacts of climate change and variability. The Fuzzy Membership tool allows you to transform continuous input data based on a series of specific functions that are common to the Traiangular fuzzification process. Conjunction logical operator for the implication a fuzzy rule will have several antecedents that are used in conjunction to build our fuzzy rule. Defuzzification is the final step in a fuzzy system algorithm. Based on the output of a fuzzy system one has to give an estimate of the crisp quantity (a representative crisp element) for the output value of the SISO and MISO fuzzy system. A combination of satellite imagery and ground-based observations are used and using aircraft or satellites, and remote sensing (RS) collects data on distant objects or locations. In this paper, we used Tamil nadu weather data with fuzzy expert system for predicting Monsoon Rainfall dispersion.

Keywords: Conjunction, Fuzzification, Defuzzification, Rainfall

Downloads: 00046

Page No: a5-a14

Country: THANJAVUR, TAMIL NADU, India

Research Area: Mathematics All

Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJER2403002

Published Paper PDF: https://tijer.org/TIJER/papers/TIJER2403002

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