DocumentCode
2234873
Title
Notice of Retraction
The Safety Reliability Evaluation of Mine Ventilation System Based on Information Fusion Technology
Author
Pang Yanjun ; Liu Limin
Author_Institution
Sch. of Sci., Hebei Univ. of Eng., Handan
fYear
2009
fDate
24-25 April 2009
Firstpage
129
Lastpage
133
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.
To converse membership degrees from indexes to objective is the core step in the safety reliability evaluation of mine ventilation system based on information fusion technology; but the existing converse algorithms of membership degrees are questionable because redundant data of membership degrees of indexes, which are useless to objective classification, are involved in calculation of membership degrees of the objective. In fact, to converse membership degrees is information fusion technology, the key steps of which is to find the information in index membership about object classification. For this case, distinguishable weight, effective value and comparable value are designed through the analysis of contribution of index to sample classification, which eliminates the redundant data and extract the effective values. In this way, the safety reliability model of mine ventilation system based on information fusion technology, was proposed.
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.
To converse membership degrees from indexes to objective is the core step in the safety reliability evaluation of mine ventilation system based on information fusion technology; but the existing converse algorithms of membership degrees are questionable because redundant data of membership degrees of indexes, which are useless to objective classification, are involved in calculation of membership degrees of the objective. In fact, to converse membership degrees is information fusion technology, the key steps of which is to find the information in index membership about object classification. For this case, distinguishable weight, effective value and comparable value are designed through the analysis of contribution of index to sample classification, which eliminates the redundant data and extract the effective values. In this way, the safety reliability model of mine ventilation system based on information fusion technology, was proposed.
Keywords
information management; mining industry; reliability; safety; information fusion technology; mine ventilation system; redundant data; safety reliability evaluation; Data engineering; Data mining; Fuzzy neural networks; Fuzzy systems; Mining industry; Neural networks; Pattern recognition; Reliability engineering; Safety; Ventilation; comparable value; conversion of membership degree; distinguishable weight; information fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial and Information Systems, 2009. IIS '09. International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-3618-7
Type
conf
DOI
10.1109/IIS.2009.62
Filename
5116314
Link To Document