Fuzzy acceptance sampling and characteristic curves

40Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

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. © 2012, Copyright the authors.

Cite

CITATION STYLE

APA

Turanoğlu, E., Kaya, İ., & Kahraman, C. (2012). Fuzzy acceptance sampling and characteristic curves. International Journal of Computational Intelligence Systems, 5(1), 13–29. https://doi.org/10.1080/18756891.2012.670518

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free