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research article

A Consistent Confidence Interval for Fuzzy Capability Index

Parchami, Abbas
•
Mashinchi, Mashallah
•
Partovi Nia, Vahid  
2008
Applied and Computational Mathematics

Fuzzy process capability indices are used to determine whether a production process is capable of producing items within specification tolerance, where instead of precise quality we have two membership functions for specification limits. In practice these indices are estimated using sample data and it is of interest to obtain confidence limits for fuzzy capability index given a sample estimate. After introducing fuzzy confidence interval by Parchami et al. in 2005 and 2006, for fuzzy capability index, our observation leads us to propund an open problem about the consistency property for interval estimation of it. In this paper we redefine some concepts about fuzzy confidence interval and then we show the consistency property of the fuzzy confidence interval proposed by Parchami et al. in 2006 holds almost every where.

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Type
research article
Web of Science ID

WOS:000257297000009

Author(s)
Parchami, Abbas
Mashinchi, Mashallah
Partovi Nia, Vahid  
Date Issued

2008

Published in
Applied and Computational Mathematics
Volume

7

Issue

1

Start page

119

End page

125

Subjects

Fuzzy process capability index

•

Fuzzy confidence interval

•

Triangular fuzzy number

•

Weak law of large numbers.

URL

URL

http://www.science.az/acm/v_7_n_1_2008/titul.htm
Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
STAT  
Available on Infoscience
May 4, 2008
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/23550
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