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Knowledge fusion method based on fuzzy set theory

机译:基于模糊集理论的知识融合方法

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The discussion of knowledge management and technological innovation has never stopped, and the discussion of the relationship between the two has not only important practical significance but also profound theoretical significance. The purpose of this paper is to study a new method of knowledge fusion from the perspective of science and technology philosophy. From a newperspective, this paper analyzes defects of subjective tendencies, decision-dependent partial attributes of knowledge source existed in practical applications of management field and proposed a knowledge fusion method based on fuzzy set theory. This paper firstly explains the characteristics of knowledge sources, and transforms knowledge into a new knowledge layer through combining multi-source knowledge, then improves the connotation, level and self-confidence of knowledge, finally improves the ability of the system to accomplish tasks and goals. Then combine the fuzzy set theory with the knowledge fusion algorithm reasonably and effectively, and obtain the results of knowledge fusion by using evidence synthesis and decision rules, so as to make up for the lack and defects in the knowledge fusion process and solve the uncertainty problem in knowledge reasoning. Finally, through the practical example, merged the fuzzy set theory proposed in this paper into knowledge fusion to deal it, obtain a kind of processing of fuzzy set theory, forming a knowledge fusion method based on fuzzy set theory. Based on fuzzy set theory, obtain the observation results of knowledge fusion algorithm combined with the various warning models, then to discuss and analyze the enterprise warning problem deeply. Therefore, the examples and simulation results show that the advantages in practicality and versatility of knowledge fusion method proposed through fuzzy set theory is higher than the common knowledge fusion method. The method used in the production of manufacturing products can help manufacturing companies improve development quality of product and shorten development cycle of product. Moreover, in the product design industry, it has verified that knowledge fusion can promote the dissemination of knowledge in the field of knowledge management, which helps to share and reuse design knowledge, reduce difficulty of development and improve efficiency of development.
机译:知识管理和技术创新的讨论从未停止过,而这两者之间的关系讨论不仅具有重要的实际意义,而且具有深刻的理论意义。本文的目的是研究一种新的科学技术哲学观察融合方法。从较新的目录中,本文分析了主观倾向的缺陷,知识来源的决策依赖性部分属性存在于管理领域的实际应用中,并提出了一种基于模糊集理论的知识融合方法。本文首先解释了知识来源的特征,并通过组合多源知识来改变知识的知识,然后提高知识的内涵,水平和自信,最终提高了系统完成任务和目标的能力。然后将模糊集理论与知识融合算法相结合,并通过使用证据综合和决策规则获得知识融合的结果,从而弥补知识融合过程中的缺陷和缺陷并解决不确定性问题知识推理。最后,通过实际例子,将本文提出的模糊集理论合并为知识融合来处理它,获得一种基于模糊集理论的知识融合方法的一种处理。基于模糊集理论,获取知识融合算法的观察结果与各种警告模型相结合,然后深入讨论和分析企业警告问题。因此,实施例和仿真结果表明,通过模糊集理论提出的知识融合方法的实用性和多功能性高于普通知识融合方法。制造产品生产中使用的方法可以帮助制造公司提高产品的发展质量和缩短产品的开发周期。此外,在产品设计行业中,它核实知识融合可以促进知识管理领域的传播,这有助于分享和重用设计知识,减少发展难度并提高发展效率。

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