@article{Khan_Gulistan_Hassan_Nasruddin_2020, title={Air Pollution Model using Neutrosophic Cubic Einstein Averaging Operators}, volume={32}, url={https://fs.unm.edu/nss8/index.php/111/article/view/388}, abstractNote={Theneutrosophic cubic averaging and Einstein averaging aggregation operators are presented andappliedto the air pollution model of the city of Peshawar, Pakistan. Neutrosophic cubic set (NCS) isamore generalized version of the neutrosophic set (NS) and an interval neutrosophic set (INS). Itis in a better position to express consistent, indeterminant and incomplete information, thus it is able to be applied to aggregate the air pollution model.Aggregation operators have a key role in science and engineering problems. Firstly, the neutrosophic cubic weighted averaging (NCWA) operator, neutrosophic cubic ordered weighted averaging (NCOWA) operator, neutrosophic cubic hybrid aggregation (NCHA) operator, neutrosophic cubic Einstine weighted averaging (NCEWA) operator, neutrosophic cubic Einstine ordered weighted averaging (NCEOWA) operator and neutrosophic cubic Einstine hybrid aggregation (NCEHA) operator are defined. Secondly,these operators areapplied to the air pollution model of particulate matter with the size of less than 10 micron(PM10) in Peshawar. Subsequently,the results are compared with the World Health Organization (WHO) standards using score/accuracy function.The pollution of PM10 is found to be very much higher than WHO standards. Hence, strong measures are required to control air pollution.}, journal={Neutrosophic Sets and Systems}, author={Khan, Majid and Gulistan, Muhammad and Hassan, Nasruddin and Nasruddin, Abdul Muhaimin}, year={2020}, month={Mar.}, pages={372–389} }