Science and technology service quality evaluation method and device based on combined weighting and fuzzy grey clustering

Abstract

The invention discloses a science and technology service quality evaluation method and device based on combined weighting and fuzzy grey clustering. The method comprises the steps: analyzing the service quality of a science and technology resource service platform, obtaining an evaluation result of the service quality according to a constructed index set, testing index data, calculating the subjective weight and the objective weight of the index data according to a majority set weighted analytic hierarchy process and a weighting method, combining the subjective weight and the objective weight by adopting a combined weighting method, substituting an evaluation object into a whitening weight function by utilizing a grey clustering theory to calculate whitening values contained in different clustering indexes, obtaining a secondary index service quality evaluation result, and performing primary index evaluation according to an evaluation index system and the secondary index service quality evaluation result to complete evaluation of the service quality of the science and technology resource service platform. According to the invention, the model can obtain an accurate and comprehensive service quality evaluation result according to limited sample data, and has guiding significance for improving the science and technology service level and promoting opening and sharing of science and technology resources.

Description

technical field [0001] The invention relates to the technical field of quality evaluation, in particular to a method and device for evaluating the quality of scientific and technological services based on combined weighting and fuzzy gray clustering. Background technique [0002] The scientific and technological resource service platform is an important part of the scientific and technological innovation system. By effectively converging and integrating multiple heterogeneous scientific and technological resources, activating innovation needs, realizing the optimal allocation and open sharing of scientific and technological resources, it provides a digital, intelligent and networked platform for promoting the development of scientific and technological innovation. support system. Therefore, constructing a scientific and reasonable service quality evaluation model of the scientific and technological resource service platform, objectively and comprehensively evaluating the ser...

AI Technical Summary

Problems solved by technology

[0008] Most of the existing science and technology service platform evaluation index systems use the traditional AHP to assign index weights. The weights are obtained through the subjective judgments of domain experts, so they are highly subjective, and the knowledge of the evaluators structure and preference

In addition, the traditional analytic hierarchy process needs to perform a consistency check after obtaining the judgment matrix. If it does not meet the consistency check, it needs to re-scale and construct the judgment matrix. The process is cumbersome

[0009] Existing evaluation methods of scientific and technological service quality indicators mainly include artificial neural network method and rule-based method. The evaluation method based on artificial neural network requires a large amount of data to optimize the model, and when it is based on numerical calculation and analysis, the evaluation process information is easily lost.

Images