A new attribute sampling plan using neutrosophic statistical interval method

In the classical statistics, for the inspection of a final lot of the product, a decision is made either the lot has good quality or not using an acceptance sampling plan. The acceptance of sampling using the classical statistics assumes that data are determinate. In some situations, the data may im...

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Veröffentlicht in:Complex & intelligent systems Jg. 5; H. 4; S. 365 - 370
1. Verfasser: Aslam, Muhammad
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 01.12.2019
Springer Nature B.V
Schlagworte:
Binomial distribution
Complexity
Computational Intelligence
Data Structures and Information Theory
Engineering
Inspection
Original Article
Sampling
Sampling techniques
Statistics
Lot
Neutrosophic
Statistics
Distribution
ISSN:2199-4536, 2198-6053
Online-Zugang:Volltext
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Zusammenfassung:In the classical statistics, for the inspection of a final lot of the product, a decision is made either the lot has good quality or not using an acceptance sampling plan. The acceptance of sampling using the classical statistics assumes that data are determinate. In some situations, the data may imprecise and even intermediate which leads to indecision about the quality of the submitted lot of the product. In this situation, neutrosophic statistics can be applied for the lot sentencing. In this paper, a new attribute sampling plan is proposed using the neutrosophic interval method. The lot acceptance, rejection, and indeterminate probabilities are computed using the neutrosophic binomial distribution at various specified parameters such as sample size and acceptance number. The efficiency of the proposed sampling plan is also discussed. A real example is also added to explain the proposed sampling plan.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2199-4536
2198-6053
DOI:10.1007/s40747-018-0088-6