Data mining method based on entropy weight algorithm and analytic hierarchy process and system thereof

Abstract

The invention provides a data mining method based on entropy weight algorithm and analytic hierarchy process, which is characterized by including the following steps: S1, collecting original data used for enterprise evaluations; S2, establishing enterprise evaluation systems from four aspects: technology levels of enterprises, competitive capacities of enterprises, economic values of enterprises and social values of enterprises, and determining evaluation indexes; S3, using entropy weight algorithm and analytic hierarchy process to determine index weights of each evaluation index in enterprise evaluations; S4, according to the evaluation indexes and the corresponding index weights, using fuzzy comprehensive evaluation algorithm to conduct enterprise evaluations and get the results of the enterprise evaluations. By establishing an all-around enterprise evaluation system, the data-mining method can evaluate the technical advancements and practical values of enterprises. And by combining entropy weight algorithm, analytic hierarchy process and fuzzy comprehensive evaluation algorithm, the data-mining method makes the results of the enterprise evaluations more objective and scientific, thus revealing more accurately the strengths of science and technology capabilities of enterprises and offering important references for enterprises to make periodic strategic objectives.

Description

Technical field [0001] The invention relates to the technical field of data processing, in particular to a data mining method and system based on an entropy weight algorithm and an analytic hierarchy process. Background technique [0002] Enterprises often need to carry out a large number of commercial activities in the process of development in order to increase the visibility of the enterprise and promote the further development of the enterprise. [0003] However, if an enterprise cannot have a clear and accurate understanding of its own enterprise situation, the enterprise may cause decision-making errors due to wrong information in the development process, which will seriously affect the development of the enterprise. [0004] In the process of enterprise evaluation, it is necessary to conduct a comprehensive analysis and investigation of the enterprise, and a large amount of data information processing will be involved, which greatly increases the complexity and inconvenience o...

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Problems solved by technology

[0003] However, if the enterprise does not have a clear and accurate understanding of its own business situation, it is likely that the enterprise will make mistakes in decision-making due to wrong information during the development process, which will seriously affect the development of the enterprise.

[0004] In the process of enterprise evaluation, it is necessary to carry out all-round analysis and inspection of the enterprise, and it will involve the processing of a large amount of data information, which greatly increases the complexity and inconvenience of enterprise evaluation.

[0005] At the same time, for the large amount of data information involved in the enterprise evaluation process, different data information obtained for different aspects of the enterprise often have different importance in the enterprise evaluation process, that is, some data information may occupy comparative important proportion, while some data information may be relatively secondary, how to effectively evaluate the enterprise according to the importance of different data information will further increase the difficulty of enterprise evaluation

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