Clustering Neutrosophic Data Sets and Neutrosophic Valued Metric Spaces

Tas F. , Topal S., Smarandache F.

SYMMETRY-BASEL, cilt.10, 2018 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 10 Konu: 10
  • Basım Tarihi: 2018
  • Doi Numarası: 10.3390/sym10100430


In this paper, we define the neutrosophic valued (and generalized or G) metric spaces for the first time. Besides, we newly determine a mathematical model for clustering the neutrosophic big data sets using G-metric. Furthermore, relative weighted neutrosophic-valued distance and weighted cohesion measure, is defined for neutrosophic big data set. We offer a very practical method for data analysis of neutrosophic big data although neutrosophic data type (neutrosophic big data) are in massive and detailed form when compared with other data types.