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An Intelligent Application of Fuzzy ID3 to Forecast Seasonal Runoff

Authors

Chandar Sahu
Lakshmi Narain College of Technology, Indore

Abstract

Agriculture in India has a significant history. Today, India ranks second worldwide in farm output.Agriculture and allied sectors like forestry and fisheries accounted for 16.6% of the Gross DomesticProducts (GDP) in 2009, about 50% of the total workforce. But most of farmers are depend on theseasonal weather conditions for agriculture issues. And if farmer’s lands are captivities thus the watersupply management also needs this forecast to plan water allocations for the following summer season.This paper proposes a hybrid forecasting technique that is combination of fuzzy logic and IterativeDichotomizer (ID3) data mining algorithm. That forecast seasonal runoff on the basis of daily weatherconditions

Keywords

fuzzy logic; ID3; water supply; forecast