2026-05-01T11:19:46Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4415 2021-12-13T04:05:14Z 1582963302567:1597824273898 user-ucsy

Efficient Rules Extraction using Rough Set Theory for Weather Data Analysis Ei, Nyein Nyein The system extracts optimal rule fromweather data set based on rough set theory. Themain idea of rough set theory is to obtain assimple as rules from the given database byreducing the database while holding the originaldegree of consistency. In order to find theoptimal rule of weather from the historical datait provide easy and accurate for the weatherforecast. This system included the processes ofindiscernibility, set approximation, attributesreduction, rules extraction and optimal ruleselection. GDT-RS (Generalization DistributionTable for Rough Sets) are used for the rulesextraction and optimal rule selection. Thissystem analyzes the relationship between theweather condition attribute and other attributesof weather data set by calculating thedependency and accuracy between them. 2011-05-05 http://hdl.handle.net/20.500.12678/0000004415 https://meral.edu.mm/records/4415