DocumentCode
1972991
Title
Notice of Retraction
AOQ and ATI for Double Sampling Plan with Using Fuzzy Binomial Distribution
Author
Jamkhaneh, E.B. ; Gildeh, B.S.
Author_Institution
Dept. of Stat., Islamic Azad Univ., Ghaemshahr, Iran
fYear
2010
fDate
22-23 June 2010
Firstpage
45
Lastpage
49
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.
In this paper we introduce the average outgoing quality (AOQ) and average total inspect (ATI) for double sampling plan when that proportion nonconforming items is fuzzy number. We have shown that AOQ and ATI curves of the plan are like a band having high and low bounds and if the process quality is very good or very bad, then AOQ bands will be lower values. With the decreasing the quality of process the bandwidth of FATI will narrower, and with the increasing the size of lot if others parameter be fixed, this width be wider.
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.
In this paper we introduce the average outgoing quality (AOQ) and average total inspect (ATI) for double sampling plan when that proportion nonconforming items is fuzzy number. We have shown that AOQ and ATI curves of the plan are like a band having high and low bounds and if the process quality is very good or very bad, then AOQ bands will be lower values. With the decreasing the quality of process the bandwidth of FATI will narrower, and with the increasing the size of lot if others parameter be fixed, this width be wider.
Keywords
binomial distribution; fuzzy set theory; sampling methods; statistical process control; FATI; average outgoing quality; average total inspect; double sampling plan; fuzzy binomial distribution; fuzzy number; Bandwidth; Estimation; Inspection; Probability distribution; Quality control; Uncertainty; Statistical quality control; acceptance single sampling; average outgoing quality; average total inspection; fuzzy number;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Cognitive Informatics (ICICCI), 2010 International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-6640-5
Type
conf
DOI
10.1109/ICICCI.2010.9
Filename
5566041
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