Title
Neutrosophic Cubic Heronian Mean Operators With Applications In Multiple Attribute Group Decision-Making Using Cosine Similarity Functions
Abstract
This article introduces the concept of Heronian mean operators, geometric Heronian mean operators, neutrosophic cubic number-improved generalized weighted Heronian mean operators, neutrosophic cubic number-improved generalized weighted geometric Heronian mean operators. These operators actually generalize the operators of fuzzy sets, cubic sets, and neutrosophic sets. We investigate the average weighted operator on neutrosophic cubic sets and weighted geometric operator on neutrosophic cubic sets to aggregate the neutrosophic cubic information. After this, based on average weighted and geometric weighted and cosine similarity function in neutrosophic cubic sets, we developed a multiple attribute group decision-making method. Finally, we give a mathematical example to illustrate the usefulness and application of the proposed method.
Year
DOI
Venue
2019
10.1177/1550147719877613
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Keywords
Field
DocType
Neutrosophic set, neutrosophic cubic set, Heronian mean operator, geometric Heronian mean operator, multiple attribute decision-making problem
Heronian mean,Algebra,Cosine similarity,Computer science,Operator (computer programming),Distributed computing,Group decision-making,Neutrosophic set
Journal
Volume
Issue
ISSN
15
9
1550-1477
Citations 
PageRank 
References 
1
0.36
0
Authors
6
Name
Order
Citations
PageRank
Muhammad Gulistan1287.63
Mutaz Mohammad210.36
Faruk Karaaslan322.40
Seifedine Kadry421342.51
Salma Khan510.36
Hafiz Abdul Wahab610.36