Power supply service satisfaction influence factor identification method based on decision tree algorithm

A technology of influencing factors and identification methods, applied in character and pattern recognition, calculation, computer parts and other directions, can solve problems such as large differences in results, long time-consuming evaluation work, relying on human subjective judgment principles, etc., to achieve clear organization and procedures. rigorous effect

Pending Publication Date: 2020-04-21
国家电网有限公司客户服务中心 +2
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Problems solved by technology

[0004] In order to overcome the problems existing in the related technologies, the embodiment of the present invention provides a method for identifying influencing factors of power supply service satisfaction based on a decision tree algor

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  • Power supply service satisfaction influence factor identification method based on decision tree algorithm
  • Power supply service satisfaction influence factor identification method based on decision tree algorithm
  • Power supply service satisfaction influence factor identification method based on decision tree algorithm

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Embodiment Construction

[0033] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with the present invention. Rather, they are merely examples of apparatus and related applications and methods consistent with some aspects of the invention as recited in the appended claims.

[0034] figure 1 It is a flowchart of a method for identifying factors affecting satisfaction of power supply services based on a decision tree algorithm in the embodiment of the present invention, such as figure 1 As shown, the method for identifying influencing factors of power supply service satisfaction based on a decision tree algorithm includes the following steps:

[0...

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Abstract

The invention discloses a power supply service satisfaction influence factor identification method based on a decision tree algorithm, and the method comprises the steps: importing a needed function library, constructing a decision tree through a USDUW function, and marking the algorithm as a decision point; when a decision tree is constructed, selecting a certain characteristic value as a node ofthe tree according to a given sample data set, and calculating the information entropy in the data in the data set; determining the number of decision points of the decision tree, and marking the probability and the profit and loss value of the decision points on a probability branch; and when the decision tree selects the decision features, selecting the feature with the maximum Gini exponentialgain value as the node splitting condition. The method is clear in organization, rigorous in program, quantitative and qualitative in analysis, the satisfaction degree of the power customer is analyzed by utilizing a fuzzy decision tree analysis method, and the satisfaction degree of the power customer to the power service under which conditions can be clearly known by establishing a rule, so that conditions are provided for improving the service and improving the satisfaction degree of the power customer in the future.

Description

technical field [0001] The invention relates to the technical field of power supply service satisfaction assessment, in particular to a method for identifying influencing factors of power supply service satisfaction based on a decision tree algorithm. Background technique [0002] With the rapid development of information technologies such as the Internet, big data, and cloud computing, most of the information has been transitioned from paper carriers to electronic carriers, and most of this information is unstructured or semi-structured text information. How to effectively manage, mine, and analyze the information contained in massive unstructured data has become a major challenge in the field of big data. In unstructured data, text data occupies an important position. For enterprises with a large amount of text data, how to effectively use this part of the data resources determines the future development of the enterprise. In the data of the customer service center of th...

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Application Information

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IPC IPC(8): G06K9/62G06Q10/06G06Q50/06
CPCG06Q10/0639G06Q50/06G06F18/23G06F18/24323
Inventor 王宗伟赵郭燚金鹏汪丽冉晶晶
Owner 国家电网有限公司客户服务中心
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