DocumentCode
3339115
Title
Information quantification and management with fuzzy entropy and similarity measure
Author
Lee, Sanghyuk ; Wang, Yiqi ; Song, JungIl
Author_Institution
Sch. of Mechatron., Changwon Nat. Univ., Changwon, South Korea
fYear
2010
fDate
23-25 June 2010
Firstpage
300
Lastpage
305
Abstract
Fuzzy entropy and similarity measure were used to measure the information of data as real value. In order to calculate the certainty or uncertainty fuzzy entropy and similarity measure are designed and proved. Obtained measures were applied to the calculating process and discussed. Extension of data quantification results to decision making and fuzzy game theory were also discussed.
Keywords
Counting circuits; Data analysis; Decision theory; Entropy; Fuzzy sets; Fuzzy systems; Game theory; Information management; Mechatronics; Uncertainty; certainty; data management; fuzzy entropy; similarity measure; uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Sciences and Interaction Sciences (ICIS), 2010 3rd International Conference on
Conference_Location
Chengdu, China
Print_ISBN
978-1-4244-7384-7
Electronic_ISBN
978-1-4244-7386-1
Type
conf
DOI
10.1109/ICICIS.2010.5534814
Filename
5534814
Link To Document