DocumentCode :
2550681
Title :
Measuring grey characteristics of association grey knowledge
Author :
Qishan, Zhang ; Kejia, Chen
Author_Institution :
Fuzhou Univ., Fuzhou
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
2196
Lastpage :
2199
Abstract :
Association grey knowledge (in brief spoken of as grey knowledge) is introduced. By making use of difference information entropy, the grey degree which measures the grey characteristics of grey knowledge is given. Some theorems and propositions related to the grey degree and grey characteristics of grey knowledge are obtained. The bigger (or smaller) is the grey degree of grey knowledge, the greater (or lesser) is its grey characteristics, vice versa. It is pointed out that grey knowledge may extend or be transmuted white knowledge.
Keywords :
entropy; grey systems; knowledge acquisition; association grey knowledge; difference information entropy; grey characteristics; Computer industry; Fuzzy logic; Information entropy; Information processing; Information technology; Knowledge acquisition; Knowledge representation; Probabilistic logic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4414223
Filename :
4414223
Link To Document :
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