Hybrid Binary Logarithm Similarity Measure for MAGDM Problems under SVNS Assessments

Autor:	Kalyan Mondal, Surapati Pramanik, Bibhas C. Giri
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	single valued neutrosophic set binary logarithm function similarity measure entropy function ideal solution Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95
Zdroj:	Neutrosophic Sets and Systems, Vol 20, Pp 12-25 (2018)
Druh dokumentu:	article
ISSN:	2331-6055 2331-608X
DOI:	10.5281/zenodo.1235365
Popis:	Single valued neutrosophic set is an important mathematical tool for tackling uncertainty in scientific and engineering problems because it can handle situation involving indeterminacy. In this research, we introduce new similarity measures for single valued neutrosophic sets based on binary logarithm function. We define two type of binary logarithm similarity measures and weighted binary logarithm similarity measures for single valued neutrosophic sets. Then we define hybrid binary logarithm similarity measure and weighted hybrid binary logarithm similarity measure for single valued neutrosophic sets.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/a636070473434983adb249bdcbcccd35 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF