Rough Set based Data Analysis or RoSDA is one of the most powerful tool for performing data analysis developed by Knowledge & Data Science Research Centre (KDRC).
RoSDA
RoSDA is a powerful tool for performing data analysis tasks in the context of Rough Set Theory. The tool has been developed by Knowledge & Data Science Research Centre. It provides over 200 functions as well as both GUI and API functions for easy use and integration purpose. If you are interested in a demo version of RoSDA, please fill in the form.
RoSDA provides the following functionalities:
Rough Set Theory (RST):
- Handling Missing Values
- Discretization
- Indiscernibility
- Approximations (Lower and Upper)
- Dependency
- Reducts
- Inconsistency Identification
- Feature Selection
- Rule Extraction
- Classification
Dominance based Rough Set Approach (DRSA):
- Data Normalization
- Class Unions
- Calculation of Dominance
- Calculation of Consistent and Inconsistent Objects
- Lower and upper approximations
- Quality of approximation
- Reducts
- Decision Rules
- Classification
Manual of RosDA with complete set of feature.
Knowledge and Data Science Research Centre (KDRC) 
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