Volume 5, Issue 1, February 2012, Pages 13 - 29
FUZZY ACCEPTANCE SAMPLING AND CHARACTERISTIC CURVES
Ebru Turanoğlu, İhsan Kaya, Cengiz Kahraman
Received 28 September 2011, Accepted 18 January 2012, Available Online 1 February 2012.
- https://doi.org/10.1080/18756891.2012.670518How to use a DOI?
- Acceptance Sampling, Fuzzy Sets, Characteristic Curves, Sampling Plan
- Acceptance sampling is primarily used for the inspection of incoming or outgoing lots. Acceptance sampling refers to the application of specific sampling plans to a designated lot or sequence of lots. The parameters of acceptance sampling plans are sample sizes and acceptance numbers. In some cases, it may not be possible to define acceptance sampling parameters as crisp values. These parameters can be expressed by linguistic variables. The fuzzy set theory can be successfully used to cope with the vagueness in these linguistic expressions for acceptance sampling. In this paper, the main distributions of acceptance sampling plans are handled with fuzzy parameters and their acceptance probability functions are derived. Then the characteristic curves of acceptance sampling are examined under fuzziness. Illustrative examples are given.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - JOUR AU - Ebru Turanoğlu AU - İhsan Kaya AU - Cengiz Kahraman PY - 2012 DA - 2012/02 TI - FUZZY ACCEPTANCE SAMPLING AND CHARACTERISTIC CURVES JO - International Journal of Computational Intelligence Systems SP - 13 EP - 29 VL - 5 IS - 1 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2012.670518 DO - https://doi.org/10.1080/18756891.2012.670518 ID - Turanoğlu2012 ER -