Title :
Research on information system attribute set information granules based on functional dependency
Author :
Yan-Bin Hao ; Xiao Guo ; Nai-Ding Yang
Author_Institution :
Coll. of Manage., Northwestern Polytech. Univ., Xi´an, China
Abstract :
Granular computing is a useful method in the computational intelligence field. The current research on information granule is mainly granulation of information system object set and its properties. The concept of information granules of information system attribute set based on functional dependency is proposed, and then the concepts of information system structure and information system structure complexity are defined. The changing rules of information system structure are studied when function dependency or attribute changes. A new concept of attribute reduction is presented and efficient calculation method is given.
Keywords :
data mining; data reduction; granular computing; information systems; attribute changes; attribute reduction; computational intelligence field; data mining; functional dependency; granular computing; information granules; information system attribute set; information system object set granulation; information system structure complexity; Complexity theory; Computational intelligence; Computational modeling; Information systems; Intelligent systems; Set theory; Uncertainty; Attribute reduction; Attribute set information granules; Function dependency; Information system structure; Structure complexity;
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on
Print_ISBN :
978-1-4799-7207-4
DOI :
10.1109/ICCWAMTIP.2014.7073362
