Enterprise Management Performance Evaluation Model Using Improved Fuzzy Clustering Algorithm in IoT Networks

Enterprise core competence is closely related to enterprise management performance, and it is important to evaluate enterprise management performance. However, the current enterprise management performance evaluation model has the problems of high eigenvalues of sample data, low cumulative contribut...

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Published in:Security and communication networks Vol. 2022; pp. 1 - 11
Main Authors: Li, Jia, Ma, Liangliang
Format: Journal Article
Language:English
Published: London Hindawi 11.06.2022
John Wiley & Sons, Inc
Subjects:
Accuracy
Algorithms
Balanced Scorecard
Brand loyalty
Business administration
Clustering
Data base management systems
Eigenvalues
Human resources
Independent component analysis
Internet of Things
Networks
Performance evaluation
Performance management
Principal components analysis
Reputations
China
ISSN:1939-0114, 1939-0122
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Abstract Enterprise core competence is closely related to enterprise management performance, and it is important to evaluate enterprise management performance. However, the current enterprise management performance evaluation model has the problems of high eigenvalues of sample data, low cumulative contribution and correlation, high error rate in the calculation of business management performance evaluation index weights, low evaluation accuracy, and long evaluation time. Therefore, the enterprise management performance evaluation model using improved fuzzy clustering algorithm in Internet of things (IoT) networks is proposed. First, in the IoT architecture, the enterprise management performance evaluation index system is established by using the balanced scorecard theory. Second, the evaluation index system is reduced in dimensionality by combining principal component analysis and kernel-independent component analysis, the fuzzy C-mean clustering algorithm based on the objective function is designed, and finally, the improved fuzzy clustering algorithm is obtained to establish the enterprise management performance evaluation model, the reduced evaluation index system is input, and the evaluation results are output. The results show that the sample data eigenvalue of this model is low. The maximum error rate of weight calculation is 2.3%, the accuracy is always more than 95%, and the average value of evaluation time is 0.57 s, which effectively realize enterprise management performance evaluation in IoT networks.
AbstractList Enterprise core competence is closely related to enterprise management performance, and it is important to evaluate enterprise management performance. However, the current enterprise management performance evaluation model has the problems of high eigenvalues of sample data, low cumulative contribution and correlation, high error rate in the calculation of business management performance evaluation index weights, low evaluation accuracy, and long evaluation time. Therefore, the enterprise management performance evaluation model using improved fuzzy clustering algorithm in Internet of things (IoT) networks is proposed. First, in the IoT architecture, the enterprise management performance evaluation index system is established by using the balanced scorecard theory. Second, the evaluation index system is reduced in dimensionality by combining principal component analysis and kernel-independent component analysis, the fuzzy C-mean clustering algorithm based on the objective function is designed, and finally, the improved fuzzy clustering algorithm is obtained to establish the enterprise management performance evaluation model, the reduced evaluation index system is input, and the evaluation results are output. The results show that the sample data eigenvalue of this model is low. The maximum error rate of weight calculation is 2.3%, the accuracy is always more than 95%, and the average value of evaluation time is 0.57 s, which effectively realize enterprise management performance evaluation in IoT networks.
Author Ma, Liangliang
Li, Jia
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Copyright Copyright © 2022 Jia Li and Liangliang Ma.
Copyright © 2022 Jia Li and Liangliang Ma. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0
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SubjectTerms Accuracy
Algorithms
Balanced Scorecard
Brand loyalty
Business administration
Clustering
Data base management systems
Eigenvalues
Human resources
Independent component analysis
Internet of Things
Networks
Performance evaluation
Performance management
Principal components analysis
Reputations
Title Enterprise Management Performance Evaluation Model Using Improved Fuzzy Clustering Algorithm in IoT Networks
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https://www.proquest.com/docview/2678219287
Volume 2022
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