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Open AccessArticle

Neutrosophic Cubic Einstein Hybrid Geometric Aggregation Operators with Application in Prioritization Using Multiple Attribute Decision-Making Method

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Department of Basic Science and Mathematics, Faculty of Sciences, Philadelphia University, Amman 19392, Jordan
2
Department of Mathematics and Statistics, Hazara University Mansehra, 21130, Pakistan
3
Department of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, P.O. Box 11-5020, Beirut 11072809, Lebanon
*
Author to whom correspondence should be addressed.
Mathematics 2019, 7(4), 346; https://doi.org/10.3390/math7040346
Received: 5 January 2019 / Revised: 13 February 2019 / Accepted: 18 February 2019 / Published: 10 April 2019
(This article belongs to the Special Issue New Challenges in Neutrosophic Theory and Applications)
Viable collection is one of the imperative instruments of decision-making hypothesis. Collection operators are not simply the operators that normalize the value; they represent progressively broad values that can underline the entire information. Geometric weighted operators weight the values only, and the ordered weighted geometric operators weight the ordering position only. Both of these operators tend to the value that relates to the biggest weight segment. Hybrid collection operators beat these impediments of weighted total and request total operators. Hybrid collection operators weight the incentive as well as the requesting position. Neutrosophic cubic sets (NCs) are a classification of interim neutrosophic set and neutrosophic set. This distinguishing of neutrosophic cubic set empowers the decision-maker to manage ambiguous and conflicting data even more productively. In this paper, we characterized neutrosophic cubic hybrid geometric accumulation operator (NCHG) and neutrosophic cubic Einstein hybrid geometric collection operator (NCEHG). At that point, we outfitted these operators upon an everyday life issue which empoweredus to organize the key objective to develop the industry. View Full-Text
Keywords: neutrosophic cubic set; neutrosophic cubic hybrid geometric operator; neutrosophic cubic Einstein hybrid geometric operator; multiattributedecision-making (MADM) neutrosophic cubic set; neutrosophic cubic hybrid geometric operator; neutrosophic cubic Einstein hybrid geometric operator; multiattributedecision-making (MADM)
MDPI and ACS Style

Alhazaymeh, K.; Gulistan, M.; Khan, M.; Kadry, S. Neutrosophic Cubic Einstein Hybrid Geometric Aggregation Operators with Application in Prioritization Using Multiple Attribute Decision-Making Method. Mathematics 2019, 7, 346.

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