Title :
Notice of Retraction
Function S-rough sets and intuitionistic fuzzy recognition of law variation
Author :
Menglei Lin ; Baohui Chen ; Kaiquan Shi
Author_Institution :
Dept. of Math. & Inf. Sci., Zhangzhou Normal Univ., Zhangzhou, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Function S-rough sets, which was defined by R-function equivalence class, has dynamic characteristic and law characteristic., By combining dual of function one direction singular rough sets with intuitionistic fuzzy sets in this paper, the concepts such as adjoint intuitionistic fuzzy sets of law, degree of law variation and f-transfer coordination law were proposed; Based on adjoint intuitionistic fuzzy sets of law, the recognition theorem of law variation and the application of f transfer coordination law were given.
Keywords :
fuzzy set theory; pattern recognition; rough set theory; dynamic characteristic; f-transfer coordination law; function S-rough sets; intuitionistic fuzzy recognition; intuitionistic fuzzy sets; law variation; Character recognition; Computer science; Fuzzy sets; Fuzzy systems; Information science; Mathematics; Rough sets; adjoint intuitionistic fuzzy sets of law; degree of law variation; dual of function one direction singular rough sets; f -transfer coordination;
Conference_Titel :
Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4898-2
DOI :
10.1109/ICNIDC.2009.5360846
