DocumentCode :
499110
Title :
Notice of Retraction
Enterprise´s core competitiveness evaluation method based on fuzzy membership degree
Author :
Dong Shao ; Dong-li Zhang ; Dong-Sheng Zhang
Author_Institution :
Sch. of Manage., Hebei Ind. Univ., Tianjin, China
Volume :
5
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
2533
Lastpage :
2537
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.

The enterprise´s core competitiveness is the source of its sustainable competitive advantage, and the evaluation of enterprise´s core competitiveness plays an important role in core competitiveness cultivation, application and renovation. This study is to build up the index system of enterprise´s core competitiveness from the nature of core competitiveness to analyze enterprise´s overall core competitiveness, to determine the categorization weights, the effectiveness of the indices concerning samples and the concept of comparative ratio from the perspective of index classification, and to evaluate the enterprise´s core competitiveness by the method of fuzzy membership degree.
Keywords :
commerce; fuzzy set theory; enterprise core competitiveness evaluation method; fuzzy membership degree; index classification; Conference management; Cybernetics; Environmental economics; Fuzzy systems; Globalization; Industrial economics; Information entropy; Machine learning; Manufacturing; Technology management; Comprehensive evaluation; Core competitiveness; Fuzzy membership degree; Information entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Hebei
Print_ISBN :
978-1-4244-3702-3
Type :
conf
DOI :
10.1109/ICMLC.2009.5212636
Filename :
5212636
Link To Document :
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