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Open AccessArticle

Some Linguistic Neutrosophic Cubic Mean Operators and Entropy with Applications in a Corporation to Choose an Area Supervisor

1
Department of Mathematics, Hazara University, Mansehra 21120, Pakistan
2
Department of Mathematics, University of New Mexico, Albuquerque, NM 87301, USA
3
Department of Mathematics, Islamia College University, Peshawar 25120, Pakistan
*
Author to whom correspondence should be addressed.
Symmetry 2018, 10(10), 428; https://doi.org/10.3390/sym10100428
Received: 26 August 2018 / Revised: 16 September 2018 / Accepted: 19 September 2018 / Published: 22 September 2018
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. View Full-Text
Keywords: 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 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
MDPI and ACS Style

Gulistan, M.; Wahab, H.A.; Smarandache, F.; Khan, S.; Shah, S.I.A. Some Linguistic Neutrosophic Cubic Mean Operators and Entropy with Applications in a Corporation to Choose an Area Supervisor. Symmetry 2018, 10, 428. https://doi.org/10.3390/sym10100428

AMA Style

Gulistan M, Wahab HA, Smarandache F, Khan S, Shah SIA. Some Linguistic Neutrosophic Cubic Mean Operators and Entropy with Applications in a Corporation to Choose an Area Supervisor. Symmetry. 2018; 10(10):428. https://doi.org/10.3390/sym10100428

Chicago/Turabian Style

Gulistan, Muhammad; Wahab, Hafiz A.; Smarandache, Florentin; Khan, Salma; Shah, Sayed I.A. 2018. "Some Linguistic Neutrosophic Cubic Mean Operators and Entropy with Applications in a Corporation to Choose an Area Supervisor" Symmetry 10, no. 10: 428. https://doi.org/10.3390/sym10100428

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