Abstract:
The system extracts optimal rule from
weather data set based on rough set theory. The
main idea of rough set theory is to obtain as
simple as rules from the given database by
reducing the database while holding the original
degree of consistency. In order to find the
optimal rule of weather from the historical data
it provide easy and accurate for the weather
forecast. This system included the processes of
indiscernibility, set approximation, attributes
reduction, rules extraction and optimal rule
selection. GDT-RS (Generalization Distribution
Table for Rough Sets) are used for the rules
extraction and optimal rule selection. This
system analyzes the relationship between the
weather condition attribute and other attributes
of weather data set by calculating the
dependency and accuracy between them.
