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基于语言变量的模糊本体模型

Fuzzy Ontology Model Based on Linguistic Variables

中文摘要英文摘要

模糊本体将模糊概念引入到传统的本体模型中,以解决一定领域的不确定问题。但现有的模糊本体模型没有考虑模糊概念间的实质性的语义关系,这限制了本体的映射与集成。模糊语言变量是描述模糊知识的基础,从模糊语言变量的形式化表示入手,本文提出一种新的模糊本体模型。模型考虑模糊概念间的语义关系,包括集合关系、序关系与等价关系。用模糊本体对智能交通领域的知识进行建模,表明该研究有利于语义Web环境下模糊系统的知识共享与重用。

he fuzzy ontology with fuzzy concepts is an extension of the domain ontology with crisp concepts for solving the uncertainty problems. Present fuzzy ontology models do not focus on essential semantic relationships between fuzzy concepts, which lead difficulty in ontology mapping and integrating. To represent formally the fuzzy linguistic variables which is the basic of fuzzy knowledge, this paper proposes a new kind of fuzzy ontology models, considering semantic relationships of concepts: set relation, order relation and equivalence relation. Application of the fuzzy ontology to transportation knowledge modeling shows that this research facilitates the knowledge share and reuse for fuzzy systems on semantic web.

翟军

综合运输工程基础科学计算技术、计算机技术

本体模糊本体模糊系统知识共享

OntologyFuzzy ontologyFuzzy systemKnowledge share

翟军.基于语言变量的模糊本体模型[EB/OL].(2007-06-13)[2025-08-10].http://www.paper.edu.cn/releasepaper/content/200706-246.点此复制

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