Clustering Neutrosophic Data Sets and Neutrosophic Valued Metric Spaces
SYMMETRY-BASEL, vol.10, no.10, 2018 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 10 Issue: 10
- Publication Date: 2018
- Doi Number: 10.3390/sym10100430
- Journal Name: SYMMETRY-BASEL
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Keywords: G-metric, neutrosophic G-metric, neutrosophic sets, clustering, neutrosophic big data, neutrosophic logic, FUZZY-SETS
- Istanbul University Affiliated: Yes
Abstract
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.