Hybrid Binary Logarithm Similarity Measure for MAGDM Problems under SVNS Assessments

Autor:	Mondal, K., Pramanik, S., Bibhas Chandra Giri
Rok vydání:	2018
Předmět:	ideal solution binary logarithm function similarity measure single valued neutrosophic set Mathematics::General Mathematics lcsh:Mathematics lcsh:Electronic computers. Computer science entropy function lcsh:QA1-939 lcsh:QA75.5-76.95
Zdroj:	Scopus-Elsevier Neutrosophic Sets and Systems, Vol 20, Pp 12-25 (2018)
DOI:	10.6084/m9.figshare.6205307
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:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3560aed6326134d40a8cc32cf3162a54 Zobrazit plný text záznamu