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Comprehensive Evaluation Model of SDN Partners of General Engineering Enterprise Based on RBF Neural Network

机译:基于RBF神经网络的通用工程企业SDN合作伙伴综合评价模型。

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Because of weak competitiveness of our general engineering enterprises in the international construction market, a new business operation mode is constructed based on Supply and Demand Network (SDN) with Multi-Functional and Opening Characteristics for general engineering enterprises. On the basis of this, to choose the right partners, a comprehensive indicator system is proposed. The system comprises willingness to cooperate, technology level, ability to fund operations, integrated management capabilities, market competitiveness and so on. Then, the muti-indices comprehensive evaluation model of partners is built based on radial basic function neural network. Finally the real partner enterprises and its relative data are employed to testify the validity of the proposed approach.
机译:由于我国通用工程企业在国际建筑市场上的竞争力较弱,因此,基于通用和开放特征的供需网络(SDN),为通用工程企业构建了一种新的业务运作模式。在此基础上,选择合适的合作伙伴,提出了一套完善的指标体系。该系统包括合作意愿,技术水平,运营资金能力,综合管理能力,市场竞争力等。然后,基于径向基函数神经网络,建立了伙伴的多指标综合评价模型。最后,利用真实的合作伙伴企业及其相关数据证明了该方法的有效性。

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