Improved entropy weight AHP and application thereof
A technique of analytic hierarchy process and entropy weight method, applied in data processing applications, instruments, manufacturing computing systems, etc., can solve problems such as inability to distinguish solutions
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[0042] (1) There are m upper-level criteria and n sub-criteria, and each upper-level criterion contains n 1 , n 2 ,...,n m sub-criteria, and n 1 +n 2 +…+n m =n, where the weight of the upper criterion is obtained through the judgment matrix of the analytic hierarchy process B={β 1 , β 2 ,...,β m}, the weight of each sub-criteria is
[0043] (2) The weight of each criterion obtained by entropy weight method is A={α 1 , α 2 ,...,α n}.
[0044] (3) Synthesize the sub-criteria weight Ф and the weight A obtained by the entropy weight method according to the following formula, and obtain the sub-criteria comprehensive weight T={τ 1 , τ 2 ,...,τ n},in
[0045]
[0046] In the formula alpha i Respectively represent the weights of each criterion obtained according to the AHP and the entropy weight method.
[0047] (4) According to the corresponding relationship between the sub-criteria and the upper-level criteria, the comprehensive weight of the criteria is re-...
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