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

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,...

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Main Authors: Khaleed Alhazaymeh, Muhammad Gulistan, Majid Khan, Seifedine Kadry
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/7/4/346
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author Khaleed Alhazaymeh
Muhammad Gulistan
Majid Khan
Seifedine Kadry
author_facet Khaleed Alhazaymeh
Muhammad Gulistan
Majid Khan
Seifedine Kadry
author_sort Khaleed Alhazaymeh
collection DOAJ
description 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.
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spelling doaj.art-36b89c9bfe874f61b03c06f3ba8d10ca2022-12-21T18:03:37ZengMDPI AGMathematics2227-73902019-04-017434610.3390/math7040346math7040346Neutrosophic Cubic Einstein Hybrid Geometric Aggregation Operators with Application in Prioritization Using Multiple Attribute Decision-Making MethodKhaleed Alhazaymeh0Muhammad Gulistan1Majid Khan2Seifedine Kadry3Department of Basic Science and Mathematics, Faculty of Sciences, Philadelphia University, Amman 19392, JordanDepartment of Mathematics and Statistics, Hazara University Mansehra, 21130, PakistanDepartment of Mathematics and Statistics, Hazara University Mansehra, 21130, PakistanDepartment of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, P.O. Box 11-5020, Beirut 11072809, LebanonViable 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.https://www.mdpi.com/2227-7390/7/4/346neutrosophic cubic setneutrosophic cubic hybrid geometric operatorneutrosophic cubic Einstein hybrid geometric operatormultiattributedecision-making (MADM)
spellingShingle Khaleed Alhazaymeh
Muhammad Gulistan
Majid Khan
Seifedine Kadry
Neutrosophic Cubic Einstein Hybrid Geometric Aggregation Operators with Application in Prioritization Using Multiple Attribute Decision-Making Method
Mathematics
neutrosophic cubic set
neutrosophic cubic hybrid geometric operator
neutrosophic cubic Einstein hybrid geometric operator
multiattributedecision-making (MADM)
title Neutrosophic Cubic Einstein Hybrid Geometric Aggregation Operators with Application in Prioritization Using Multiple Attribute Decision-Making Method
title_full Neutrosophic Cubic Einstein Hybrid Geometric Aggregation Operators with Application in Prioritization Using Multiple Attribute Decision-Making Method
title_fullStr Neutrosophic Cubic Einstein Hybrid Geometric Aggregation Operators with Application in Prioritization Using Multiple Attribute Decision-Making Method
title_full_unstemmed Neutrosophic Cubic Einstein Hybrid Geometric Aggregation Operators with Application in Prioritization Using Multiple Attribute Decision-Making Method
title_short Neutrosophic Cubic Einstein Hybrid Geometric Aggregation Operators with Application in Prioritization Using Multiple Attribute Decision-Making Method
title_sort neutrosophic cubic einstein hybrid geometric aggregation operators with application in prioritization using multiple attribute decision making method
topic neutrosophic cubic set
neutrosophic cubic hybrid geometric operator
neutrosophic cubic Einstein hybrid geometric operator
multiattributedecision-making (MADM)
url https://www.mdpi.com/2227-7390/7/4/346
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AT majidkhan neutrosophiccubiceinsteinhybridgeometricaggregationoperatorswithapplicationinprioritizationusingmultipleattributedecisionmakingmethod
AT seifedinekadry neutrosophiccubiceinsteinhybridgeometricaggregationoperatorswithapplicationinprioritizationusingmultipleattributedecisionmakingmethod