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A performance evaluation method of new business model based on grey correlation algorithm

International Journal of Information Technology and Management 2025年第1-2期24卷 92-105页

作者： Wang, Yan Department of Business Administration Xingzhi College of Xi'an University of Finance and Economics Xi'an710038 China

A new business model performance evaluation method based on grey correlation algorithm is designed to solve the problems of large evaluation error and low key of screening indicators in the new business model performance evaluation. First, analyse the new business model and screen the performance evaluation indicators of the new business model. Then, the clustering algorithm is used to determine the cluster family of each index, extract the performance evaluation index characteristics of the new business model, and construct the performance evaluation index system. Finally, the grey correlation algorithm is used to determine the grey correlation degree between the indicators, quantify the evaluation indicators, build a grey correlation model for the performance evaluation of the new business model, and realise the performance evaluation. The experimental results show that the evaluation error of the proposed evaluation method is only 2%, and the key degree of the selected index is higher than 90%, which is increased by more than 5%. This method has higher practical application value. © 2025 Inderscience Enterprises Ltd.

关键词： clustering algorithm consistency check correlation sequence grey correlation algorithm main sequence new business model performance evaluation

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An Improved grey correlation algorithm and Its Application for Diesel Fault Prediction 6

An Improved Grey Correlation Algorithm and Its Application f...

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IEEE Proceedings Sixth Int Conference Intelligent Control Inform Processing

作者： Yin, Zhentie Han, Bing Xie, Siqi Shanghai Ship & Shipping Res Inst State Key Lab Nav & Safety Technol Shanghai 200135 Peoples R China

ISBN: (纸本)9781479917174

grey correlation algorithm is getting more and more attention in the field of fault diagnosis, because of the high classification accuracy and small computation Aiming at the deficiency of similarity and proximity, this paper raises an improved grey correlation algorithm with comprehensive estimation. The effectiveness of the improved algorithm is proved by test and it is applied in the fault diagnosis and prediction of diesel engine.

关键词： grey correlation algorithm fault prediction similarity proximity

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Fisher's linear discriminant analysis model for inscribing the effect of chemical composition on cultural heritage

Fisher's linear discriminant analysis model for inscribing t...

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作者： Zihan Wang Shandong University of Finance and Economic

In this study,the relationship between weathering and glass type,decoration and colour was first analysed using Goodman and Kruskal's tau-y coefficients,and a chi-squared test was performed,which showed that weathering was most influenced by glass type,and was influenced by glass decoration but very little by glass colour.A Fisher linear discriminant analysis model was then established,and the eight chemical components with the greatest correlation to artefact type were calculated using SPSS software under the conditions of the two glass types respectively,and optimised using a grey correlation algorithm with specified thresholds for screening components,resulting in four final elements affecting high potassium glass as potassium oxide,magnesium oxide,iron oxide and copper oxide,and affecting lead and barium types as calcium oxide,aluminium oxide,lead oxide and barium oxide,aluminium oxide,lead oxide,barium oxide and strontium oxide.

关键词： Cardinality test Fisher's linear discriminant analysis model grey correlation algorithm Threshold

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