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Objective cloud matter element based industry comprehensive development level evaluation method

An evaluation method and technology of objectivity, applied in the fields of instruments, complex mathematical operations, data processing applications, etc., can solve problems such as insufficiency of objectivity and fairness, influence, etc., to achieve the effect of achieving objectivity and improving the accuracy and objectivity of evaluation

Inactive Publication Date: 2018-06-29
BEIJING JIAOTONG UNIV +2
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Problems solved by technology

However, the grade intervals in other index systems can only be divided artificially, which is not objective and fair enough, so it has a certain impact on the evaluation results

Method used

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  • Objective cloud matter element based industry comprehensive development level evaluation method
  • Objective cloud matter element based industry comprehensive development level evaluation method
  • Objective cloud matter element based industry comprehensive development level evaluation method

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0038] Through literature research and consultation with experts, the comprehensive evaluation system of smart grid is obtained as follows: figure 2 shown. The raw data collected for the sixteen countries are shown in Table 1.

[0039]

[0040] Table 2 shows the weights of each index determined by using the function-driven network analysis hierarchy process and the principal component analysis method of objective weighting.

[0041] Table 2 Determination of the weight of the final indicators of the comprehensive development level of the smart grid

[0042]

[0043] Collect the specific data of each program to be evaluated under each indicator, and classify the collected data after determining the number of grades, so as to calculate the grade interval of each indicator, as shown in Table 3.

[0044] Table 3 Level Boundary Cloud Model Level Interval

[0045]

[0046]

[0047] by formula Calculate the entropy value, there is no special case in this example, so ...

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Abstract

The invention discloses an objective cloud matter element based industry comprehensive development level evaluation method, and belongs to the field of industry evaluation. The method is characterizedby comprising the following steps: determining the class quantity of the collected data, and classifying the data; calculating the minimum central value of compactness of each index and each class, so as to work out the adjacent boundary value of each class; analyzing the index; if the index does not have clear upper and lower limits, calculating the upper and lower limits according to the central value and the known boundary value, to obtain an interval of each index and each class; calculating the expected value Ex, entropy En and hyper entropy He to form a boundary cloud model of each class, then calculating the correlation degree between each to-be-evaluated scheme and the boundary cloud model of each class; weighting with the index weight to obtain the evaluation class of each scheme. The invention provides an objective cloud matter element based industry comprehensive development level evaluation method which realizes objective division of the class interval of the class boundary cloud model, theoretically eliminates the subjective effect of manual division, and remarkably improves the objectivity and evaluation accuracy.

Description

technical field [0001] The invention belongs to the technical field of industry evaluation, and in particular relates to an evaluation method of industry comprehensive development level based on objective cloud and matter elements. Background technique [0002] The existing comprehensive evaluation methods can be classified into three categories: methods based on fuzzy theory, methods based on probability statistics, and methods based on intelligent algorithms. However, the fuzzy theory uses expert experience, and the subjective factors are relatively large, which affects the objectivity of the results. In the probability statistics method, in the process of normalizing the expected value and standard deviation, the error in the selection of the reference value has a great influence on the objectivity of the evaluation result. Evaluation methods based on intelligent algorithms require a large number of training samples. Taking advantage of the dual uncertain reasoning char...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06F17/18
CPCG06Q10/0639G06F17/18G06Q50/06
Inventor 吴俊勇宋承泽邵美阳郝亮亮刘自程
Owner BEIJING JIAOTONG UNIV
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