Analysis of the Major Investment Object by Using a Novel Approach Based on Neutrosophic Information
Algorithm 1
A distinct set of alternative , set of expert , and structure of SVNR for each expert.
(1)
Start.
(2)
Collective all consistent to the alternative and by SVN averaging operator and get the SVNNs of the alternative over all the other alternative for the expert .
(3)
Determine , and find the difference matrix then by using single-valued neutrosophic hamming distance between two SVNSs.
(4)
By using , find the average value of the matrix .
(5)
By using , find the deviation of the expert from the remaining experts.
(6)
Find the weight vector using ,
(7)
By using SVNWA operator, find the collective SVNNs of the company over all the other companies.
