University innovation entrepreneurial ability evaluation method based on gray clustering
A technology of gray clustering and evaluation methods, applied in special data processing applications, instruments, electrical digital data processing, etc.
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[0006] First define the whitening weight function: let f(x) be a monotone linear function of x, x is a gray number and f(x)∈[0,1]. Then f(x) is called the whitening weight function of the gray number x, where f(x)=1 is written as f max (ie f max =1). The whitening weight function is generally divided into three forms: high standard, medium standard and low standard, such as figure 1 shown.
[0007] Order a 1 ,a 2 ,a 3 ,...,a m is the statistical object, b 1 ,b 2 ,b 3 ,...,b n is a statistical index, f 1 , f 2 , f 3 ,..., f 1 is the whitening weight function of a given gray number, where m, n, l∈N. real number d ij It is the sample value of the i-th statistical object to the j-th statistical index. ie: d ij , 1≤i≤m, I≤j≤n.
[0008] Let D be d ij is a matrix of elements:
[0009] D = d 11 d 12 ...
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