FUZZY-ROUGH DATA REDUCTION BASED ON INFORMATION ENTROPY

摘要

Presently, many researches have been carried out on rough set based data reduction.However, this method encounters a problem when dealing with real-valued data and fuzzy information.By lucubrating the theory of fuzzy rough set and utilizing the definition of information entropy presented in literature [5], the information entropy model of fuzzy rough set has been constructed.Then the conditional information entropy of attributes is adopted to measure the significance of attributes.On this condition, a heuristic fuzzy-rough data reduction method based on information entropy (E-FRDR) has been put forward.Finally, the method is validated by an example that indicates the method is feasible.