Paper Info
Title
Some Linguistic Neutrosophic Cubic Mean Operators and Entropy with Applications in a Corporation to Choose an Area Supervisor.
Abstract
In this paper, we combined entropy with linguisti neutrosophic cubic numbers and used it in daily life problems related to a corporation that is going to choose an area supervisor, which is the main target of our proposed model. For this, we first develop the theory of linguistic neutrosophic cubic numbers, which explains the indeterminate and incomplete information by truth, indeterminacy and falsity linguistic variables (LVs) for the past, present, as well as for the future time very effectively. After giving the definitions, we initiate some basic operations and properties of linguistic neutrosophic cubic numbers. We also define the linguistic neutrosophic cubic Hamy mean operator and weighted linguistic neutrosophic cubic Hamy mean (WLNCHM) operator with some properties, which can handle multi-input agents with respect to the different time frame. Finally, as an application, we give a numerical example in order to test the applicability of our proposed model.
Year
DOI
Venue
2018
10.3390/sym10100428
SYMMETRY-BASEL
Keywords
Field
DocType
neutrosophic set,neutrosophic cubic set,linguistic neutrosophic cubic numbers,linguistic neutrosophic cubic weighted averaging operator,entropy of linguistic neutrosophic cubic numbers,application,multiple attribute decision making problem
Supervisor,Corporation,Combinatorics,Algebra,Operator (computer programming),Mathematics
Journal
Volume
Issue
ISSN
10
10
2073-8994
Citations 
PageRank 
References 
1
0.36
13
Authors
5
Name
Order
Citations
PageRank
Muhammad Gulistan1287.63
Hafiz Abdul Wahab291.20
Florentin Smarandache3728104.92
Salma Khan430.74
Sayed Inayat Ali Shah510.36