Supplier multi-index evaluation method based on error back-propagation algorithm
A technology of error back propagation and evaluation method, applied in business, computing, data processing applications, etc., can solve problems such as excessive subjective arbitrariness, and achieve the effect of improving fairness and rationality
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Embodiment 1
[0051] refer to figure 1 , which is the first embodiment of the present invention, this embodiment provides a supplier multi-index evaluation method based on the error back propagation algorithm, including:
[0052] S1: Unify the original evaluation data to obtain evaluation data.
[0053] What needs to be explained is that the evaluation data is scored according to the index system. Most of the indicators in different index systems are the same, and a small number of indicators are different. Therefore, the original evaluation data needs to be processed in a unified manner; the scoring method of each indicator It is divided into two types: discrete and continuous. Discrete grades such as fail, pass, good, and excellent are discrete data, and continuous grades are numerical grades.
[0054] If more than half of the indicators in the original evaluation data use discrete scoring, then make all the indicators in the original evaluation data adopt discrete scoring; otherwise, us...
Embodiment 2
[0106] In order to verify and explain the technical effect adopted in this method, this embodiment conducts simulation experiments on index data, and compares the test results by means of scientific demonstration, so as to verify the real effect of this method.
[0107] Select 200 simulated multi-indicator evaluation data, each evaluation data is composed of the supplier's score on 12 different indicators and the supplier's total score; firstly, the original evaluation data is unified, and the following table shows the processed part Evaluation data.
[0108] Table 1: Part of the evaluation data after unified processing.
[0109]
[0110] The weight of each indicator is set to 0.1 or 0.05, and the total score is obtained by the weighted sum of each indicator; the total score within [90,100] is set as grade A, and the total score within [80,90) is set as grade B , the total score in [70,80) is set as grade C, and the rest is set as grade D.
[0111] After the evaluation da...
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