Clustering Neutrosophic Data Sets and Neutrosophic Valued Metric Spaces
SYMMETRY-BASEL, cilt.10, sa.10, 2018 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 10 Sayı: 10
- Basım Tarihi: 2018
- Doi Numarası: 10.3390/sym10100430
- Dergi Adı: SYMMETRY-BASEL
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Anahtar Kelimeler: G-metric, neutrosophic G-metric, neutrosophic sets, clustering, neutrosophic big data, neutrosophic logic, FUZZY-SETS
- İstanbul Üniversitesi Adresli: Evet
Özet
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.