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Multi-objective fuzzy optimisation of knowledge transfer organisations in the big data environment

机译:大数据环境中知识转移组织的多目标模糊优化

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摘要

With the advent of the big data era, the information from big data has become a type of important knowledge that enterprises need for innovation. The knowledge transfer mode and the influence factors of big data knowledge providers are different from those of traditional knowledge providers. Based on an analysis of organisational composition and characteristics of knowledge transfer in the big data environment, the influence factors and evaluation index systems of big data knowledge providers are established. A multi-objective fuzzy optimisation model is constructed to derive satisfactory knowledge providers by finding optimal sequences. Meanwhile, this model can provide a cooperative decision-making method for knowledge transfer organisations to enhance the efficiency of knowledge transfer in the big data environment.
机译:随着大数据时代的出现,大数据的信息已成为企业创新所需的重要知识。 大数据知识提供商的知识转移模式和影响因素与传统知识提供商的影响因素不同。 基于对大数据环境中的组织成分和知识转移特征的分析,建立了大数据知识提供商的影响因素和评估指标体系。 通过查找最佳序列,构建多目标模糊优化模型以推导令人满意的知识提供者。 同时,该模型可以为知识转移组织提供合作决策方法,以提高大数据环境中知识转移的效率。

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