Evaluation index selection method and device based on data envelopment analysis

An envelope analysis and evaluation index technology, applied in data processing applications, computing, resources, etc., can solve problems such as low evaluation efficiency, and achieve the effect of reducing the number, improving the evaluation efficiency, and improving the collection degree.

Active Publication Date: 2021-07-02
ACADEMY OF ARMORED FORCES ENG PLA
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Problems solved by technology

[0005] One of the objectives of the present invention is to provide a method and device for selecting evaluation indicators based on data envelopment analysis, so as to solve the technical problems in the prior art that the selection of indicators requires the subjective selection of decision makers and the resulting low evaluation efficiency

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  • Evaluation index selection method and device based on data envelopment analysis
  • Evaluation index selection method and device based on data envelopment analysis
  • Evaluation index selection method and device based on data envelopment analysis

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Embodiment Construction

[0048] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0049] In the first aspect, the embodiment of the present invention provides a method for selecting evaluation indicators based on data envelopment analysis, such as figure 1 shown, including:

[0050] S1. Collect all input indicators and output indicators, and determine n main input indicators and m main output indicators according to the indicator selection principle, where n and m are positive integers;

[0051] S2. Perform a correlation analysis on the n main input indicators, and determine at least two main input indicators with the strongest correlation;

[0052] S3. Using the above-mentioned at least two main input indicators and m main output indicators to establ...

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Abstract

The invention relates to a method and device for selecting an evaluation index based on data envelopment analysis. The method includes: S1. Determine n main input indicators and m main output indicators according to the index selection principle; S2. Determine at least two main input indicators with the strongest correlation from the n main input indicators; S3. Use at least two main input indicators Establish a data envelopment analysis basic model with four main input indicators and m main output indicators; S4, sequentially use the remaining main input indicators and the above model to obtain the efficiency value of each main input indicator; S5, obtain the change rate of the efficiency value; S6 . If the change rate of the efficiency value exceeds the second preset value, introduce the corresponding main input index into the model to form a new data envelopment analysis model and use it as the basic model of the data envelopment analysis, return to S4; S7, if it is less than the second The default value takes the main input indicators of the basic model as the final input indicators. The present invention does not need to manually select indicators, and can improve the objectivity of evaluation.

Description

technical field [0001] The invention relates to a data evaluation method, in particular to a data envelopment analysis-based evaluation index selection method. Background technique [0002] Data Envelopment Analysis (DEA) is a commonly used efficiency evaluation method for evaluating the relative efficiency among a group of Decision Making Units (DMUs) with multiple inputs and multiple outputs. . In 1978, Chames, Cooper and Rhodes proposed the first DEA model, which was named the data envelopment analysis model. The model is very effective in evaluating the scale effectiveness and technical effectiveness of multi-input multi-output DMU. [0003] When using the data envelopment analysis method, it is necessary to select different evaluation indicators according to different evaluation purposes. At present, the methods for selecting evaluation indicators mainly include principal component analysis and factor analysis. Among them, Alder and Golany used principal component a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06
Inventor 陈财森寇应展朱连军邓柳于勤
Owner ACADEMY OF ARMORED FORCES ENG PLA
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