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Symmetry 2018, 10(5), 132;

A New Sampling Plan Using Neutrosophic Process Loss Consideration

Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia
Received: 12 April 2018 / Revised: 19 April 2018 / Accepted: 20 April 2018 / Published: 25 April 2018
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The theory of classical statistics assumes crisp, certain, and clear observations/parameters in engineering applications. However, in such engineering applications, due to their complex functions, it may not possible to obtain clear or crisp values of certain parameters. So, there is a chance of obtaining indeterminate, imprecise, vague, and incomplete parameters. In this situation, neutrosophic statistics can be applied, which is the generalization of classical statistics. This is reduced to classical statistics when no parameters are found to be indeterminate, imprecise, vague, or incomplete in actual practice. In this paper, we design a new sampling plan using the neutrosophic approach for the process loss function. The neutrosophic non-linear problem is given and applied to determine the neutrosophic plan parameters of the proposed sampling plan. A table is given and discussed with the help of factory data. View Full-Text
Keywords: crisp values; fuzzy approach; neutrosophic non-linear problem; risks; process loss function crisp values; fuzzy approach; neutrosophic non-linear problem; risks; process loss function
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Aslam, M. A New Sampling Plan Using Neutrosophic Process Loss Consideration. Symmetry 2018, 10, 132.

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