A New Sampling Plan Using Neutrosophic Process Loss Consideration
AbstractThe 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
Share & Cite This Article
Aslam, M. A New Sampling Plan Using Neutrosophic Process Loss Consideration. Symmetry 2018, 10, 132.
Aslam M. A New Sampling Plan Using Neutrosophic Process Loss Consideration. Symmetry. 2018; 10(5):132.Chicago/Turabian Style
Aslam, Muhammad. 2018. "A New Sampling Plan Using Neutrosophic Process Loss Consideration." Symmetry 10, no. 5: 132.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.