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FUZZY ACCEPTANCE SAMPLING AND CHARACTERISTIC CURVES

Ebru Turanoğlu Bekar · İ̇hsan Kaya · Cengiz Kahraman

40 citations0/0 files storedInternational Journal of Computational Intelligence Systems

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Advanced Statistical Process Monitoring Statistical Distribution Estimation and Applications Fuzzy Systems and Optimization

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.

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1965Fuzzy sets 1996Fuzzy sets 1992Introduction to Statistical Quality Control 1999Juran's quality handbook 1967Quality Control and Industrial Statistics.2005Introduction to Statistical Quality Control 1996Fundamentals of Quality Control and Improvement 1984Acceptance Sampling in Quality Control.

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2016Analysis and control of variability by using fuzzy individual control charts 2019A Variable Acceptance Sampling Plan under Neutrosophic Statistical Interval Method 2013Skip-Lot Sampling Plan of Type SkSP-2 with Two-Stage Group Acceptance Sampling Plan as Reference Plan 2018Design of New Sampling Plans for Multiple Manufacturing Lines Under Uncertainty 2017Designing a Multiple Deferred State Attribute Sampling Plan in a Fuzzy Environment 2019Two-stage sampling plan using process loss index under neutrosophic statistics

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