Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)

Acceptance Double Sampling Plan with Fuzzy Parameter

Authors
Ezzatallah Baloui Jamkhaneh1, Bahram Sadeghpour-Gildeh, Gholamhossein Yari
1Science&Research Branch,Islmic Azad University,Tehran,Iran
Corresponding Author
Ezzatallah Baloui Jamkhaneh
Available Online December 2008.
DOI
10.2991/jcis.2008.1How to use a DOI?
Keywords
Statistical quality control, acceptance double sampling, fuzzy number
Abstract

In the present paper we have proposed a method for designing acceptance double sampling plans with fuzzy quality characteristic. we have argued the acceptance double sampling plan when the fraction of defective items is a fuzzy number. These plans are well defined since if the fraction of defective items is crisp they reduce to classical plans. As it was shown that oc curves of the plan is like a band having a high and low bounds whose width depends on the ambiguity proportion parameter in the lot when that sample size and acceptance numbers is fixed. In this plan if the process quality is very good or very bad, then the fuzzy average sample number will be of lower values.

Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
Series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
10.2991/jcis.2008.1How to use a DOI?
Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ezzatallah Baloui Jamkhaneh
AU  - Bahram Sadeghpour-Gildeh
AU  - Gholamhossein Yari
PY  - 2008/12
DA  - 2008/12
TI  - Acceptance Double Sampling Plan with Fuzzy Parameter
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 1
EP  - 9
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.1
DO  - 10.2991/jcis.2008.1
ID  - BalouiJamkhaneh2008/12
ER  -