基于规则归纳法和概念层次的语言变量构建

2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI:10.1109/ICCI-CC.2016.7862086

S. Tsumoto, S. Hirano

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引用次数: 0

摘要

将面向属性的泛化应用于信息，往往会导致规则归纳结果不一致，这可以看作是属性信息局部化的模糊性生成。本文主要研究模糊语言变量，并提出了一种不一致的解决方法。结果表明，领域本体在语言变量的构建中可能发挥重要作用。

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Construction of linguistic variables based on rule induction and concept hierarchy

Application of attribute-oriented generalization to an informatation often lead to inconsistent results of rule induction, which can be viewed as generation of fuziness with partialization of attribute information. This paper focuses on fuzzy linguistic variables and proposes a solution for inconsistencies. The results show that domain ontology may play an important role in construction of linguistic variables.

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2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

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