Port Logistics Function Evaluation Model Based on Entropy Weight TOPSIS Method

Algorithm 1

(1)	function [s, w] = shang (x, ind)
(2)	%sReturns the score of each line (sample), Returns the weight of each column.
(3)	[n, m] = size(x); % n Samples, m Indicators
(4)	Xx = guiyi (x, 1, 0.002, 0.996);
(5)	%%Under the calculation of the j th index, the proportion of the i th sample in the index p (.)
(6)	for i = 1:n
(7)	for j = 1:m
(8)	p(.J) = X (ij)/sum (X(ij));
(9)	end
(10)	end
(11)	%%Calculate the entropy value e(j) of the jth index
(12)	k = 1/log (n);
(13)	e = ones (1, m);
(14)	for j = 1:m
(15)	e() = −ksum(p(:j).: o(:j))))
(16)	end
(17)	d = ones (1, m)-e; %Compute information entropy redundancy.
(18)	= d./sum(d); %Find the weight .
(19)	s = 100″”X”; %Seek comprehensive score
(20)	The specific results are as follows: