FUZZY ACCEPTANCE SAMPLING AND CHARACTERISTIC CURVES


Turanoglu E., KAYA İ. , Kahraman C.

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, cilt.5, ss.13-29, 2012 (SCI İndekslerine Giren Dergi)

  • Cilt numarası: 5 Konu: 1
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1080/18756891.2012.670518
  • Dergi Adı: INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
  • Sayfa Sayısı: ss.13-29

Özet

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.