基于语义Web模糊本体的供应链管理知识共享

Jun Zhai, Y. Li, Qinglian Wang, M. Lv
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引用次数: 3

摘要

知识共享是提高供应链管理效率的基本手段。本体是语义Web上知识共享和重用的基础。模糊本体是解决不确定性问题的领域本体的扩展。为了处理SCM中知识的模糊现象和不确定性,本文采用由模糊领域本体和模糊语言变量本体组成的直觉模糊集,提出了一系列模糊本体模型。然后,提出了一个模糊本体框架,包括概念、概念属性和属性值三个部分。应用模糊本体对供应链中的客户和产品知识进行建模,克服了其他模糊本体模型的局限性,促进了模糊知识在语义Web上的共享和重用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge Sharing for Supply Chain Management Based on Fuzzy Ontology on the Semantic Web
Knowledge sharing is the basic means to improve the efficiency of supply chain management (SCM). Ontology is the basis of sharing and reusing knowledge on the semantic Web. Fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. In order to handle fuzzy phenomenon and uncertainty of knowledge in SCM, this paper proposes a series of fuzzy ontology models using intuitionistic fuzzy set that consists of fuzzy domain ontology and fuzzy linguistic variable ontologies. Then, a fuzzy ontology framework is presented, including three parts: concepts, properties of concepts and values of properties. The application, which uses fuzzy ontology to model customer and product knowledge in supply chain, shows that these models can overcome the localization of other fuzzy ontology models, and this research facilitates the fuzzy knowledge sharing and reuse on the semantic Web.
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