Integrate Fuzzy Logic into SLN

Ke Ren, Zhixing Huang, Anping Zhao, Yuhui Qiu
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引用次数: 1

Abstract

SLN is a loosely coupled semantic data model assigned for the network resource management. Integrating fuzzy logic into SLN can be used to handle the ambiguity, uncertainty and imprecision. This paper proposes a novel data model of fuzzy semantic link network, and provides membership functions used to define the fuzzy semantic association degree between the semantic nodes. Its nodes can be any type of resources, and its edges can be any kind of semantic relations, the potential of fuzzy compound semantic links can be got from fuzzy reasoning rules which based on fuzzy semantic relations.
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将模糊逻辑集成到SLN中
SLN是为网络资源管理而分配的松耦合语义数据模型。将模糊逻辑集成到语言网络中,可以有效地处理模糊性、不确定性和不精确性。本文提出了一种新的模糊语义链路网络数据模型,并提供了用于定义语义节点间模糊语义关联度的隶属函数。它的节点可以是任意类型的资源,它的边可以是任意类型的语义关系,基于模糊语义关系的模糊推理规则可以得到模糊复合语义链接的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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