Facility and equipment evaluation method and device based on probability distribution
A technology of probability distribution and evaluation method, applied in the field of computer learning, it can solve the problems such as the lack of scalability of evaluation framework correlation and independence, and achieve the effect of eliminating human subjective influence, fast calculation speed and small space.
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Embodiment 1
[0081] Such as figure 1 As shown, a facility and equipment evaluation method based on probability distribution is a feature clustering and fuzzy comprehensive evaluation method based on information distribution, which is provided for facility and equipment evaluation under the condition of big data. Correlation analysis generates evaluation framework and fuzzy evaluation based on information distribution. The details are as follows:
[0082] 1. Generate an evaluation framework based on correlation analysis
[0083] S1, traverse the m features of the historical data to get the feature F i (i=1,2,…,m) maximum value max i and minimum min i ;
[0084] S2, standardize the historical data to obtain the data set normalData, the standardization method is as follows:
[0085]
[0086] where x' ij means x ij Normalized value, x ij Represents the feature F in the data set normalData i jth (j=1,2,…,n) value of (i=1,2,…,m); Indicates the feature F i The mean value of is calc...
Embodiment 2
[0150] A device for evaluating facilities and equipment based on information distribution includes a memory for storing executable instructions; a processor for executing the executable instructions stored in the memory to implement a method for evaluating facilities and equipment based on probability distribution.
[0151]The present invention fully analyzes the hidden information in the historical data when creating the evaluation framework, uses the correlation to classify the features, overcomes the artificial subjective influence, and at the same time well retains the data information; when calculating the evaluation object score, the data It is converted into a probability distribution to prevent information loss to a great extent in the form of information distribution. At the same time, the idea of fuzzy evaluation is used for information fusion during information fusion, and the weight and information distribution of each child node are comprehensively calculated to c...
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