Research on Comprehensive Evaluation of Economic Management Performance Based on Improved Fuzzy Clustering Algorithm
In order to solve the problems of low recall rate and precision rate, high error rate, and long evaluation time in traditional evaluation methods, a comprehensive evaluation of economic management performance based on an improved fuzzy clustering algorithm is designed. The improved magnetic optimiza...
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| Veröffentlicht in: | Security and communication networks 2022-03, Vol.2022, p.1-9 |
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| container_title | Security and communication networks |
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| creator | Xian, Shi |
| description | In order to solve the problems of low recall rate and precision rate, high error rate, and long evaluation time in traditional evaluation methods, a comprehensive evaluation of economic management performance based on an improved fuzzy clustering algorithm is designed. The improved magnetic optimization algorithm was used to optimize the fuzzy C-mean algorithm, the improved fuzzy clustering algorithm was completed, and the improved fuzzy clustering algorithm was used to mine the economic management performance data. Using data mining findings and AHP’s weighting formula, a complete method for evaluating economic management effectiveness was developed. The BP neural network was improved using a genetic algorithm based on the index weight calculation findings, and the full-assessment model of economic management performance was constructed. Using this approach, it is possible to accurately and quickly assess the economic management performance of a company with a high rate of recall and accuracy; the error rate of a thorough assessment ranges between −3 percent and 4 percent; the average duration for an assessment is 0.81 seconds. |
| doi_str_mv | 10.1155/2022/8578138 |
| format | Article |
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The improved magnetic optimization algorithm was used to optimize the fuzzy C-mean algorithm, the improved fuzzy clustering algorithm was completed, and the improved fuzzy clustering algorithm was used to mine the economic management performance data. Using data mining findings and AHP’s weighting formula, a complete method for evaluating economic management effectiveness was developed. The BP neural network was improved using a genetic algorithm based on the index weight calculation findings, and the full-assessment model of economic management performance was constructed. 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| language | eng |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Hindawi Publishing Open Access; Wiley Online Library (Open Access Collection) |
| subjects | Algorithms Back propagation networks Clustering Data mining Economic models Genetic algorithms Lagrange multiplier Optimization Performance evaluation Recall Values |
| title | Research on Comprehensive Evaluation of Economic Management Performance Based on Improved Fuzzy Clustering Algorithm |
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