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RETRACTED ARTICLE: Multi-level Dynamic Fuzzy Evaluation and BP Neural Network Method for Performance Evaluation of Chinese Private Enterprises

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This article was retracted on 13 December 2022

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Abstract

Based on the fact that the current neural network technology is difficult to find the high quality training sample data in the process of the private enterprise application, aiming at the present situation of the performance grading of the private enterprise, this paper puts forward the performance evaluation of the private enterprise, which is combined with the multilevel dynamic fuzzy evaluation and the BP neural Network, The evaluation model is established by artificial neural theory, and a decision support system for performance evaluation of private enterprises is established by using the multiple hidden layer neural network structure and the reverse propagation (BP) algorithm training network.

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Authors and Affiliations

  1. School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, China

    Ying Shu & Guang-hua Xu

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  1. Ying Shu
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  2. Guang-hua Xu
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Correspondence to Guang-hua Xu.

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Shu, Y., Xu, Gh. RETRACTED ARTICLE: Multi-level Dynamic Fuzzy Evaluation and BP Neural Network Method for Performance Evaluation of Chinese Private Enterprises. Wireless Pers Commun 102, 2715–2726 (2018). https://doi.org/10.1007/s11277-018-5298-0

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  • DOI: https://doi.org/10.1007/s11277-018-5298-0

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