Fuzzy Similarity Measure Model for Trees with Duplicated Attributes

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原文链接

NETL

外文摘要：In many business situations， complex user profiles are described by tree structures， and evaluating the similarity between these trees is essential in many applications， such as recommender systems。 This paper proposes a fuzzy similarity measure model for trees with duplicated attributes。 In this model， the conceptual similarity between attributes and the weights of nodes are expressed by linguistic terms。 To deal with duplicated attributes in the trees， nodes with the same concept are clustered。 The most conceptual corresponding cluster pairs among two trees are identified。 Based on the corresponding cluster pairs， the conceptual similarity and the value similarity between two trees are evaluated， and the final similarity measure is assessed as a weighted sum of their conceptual and value similarities。

外文关键词：

tree similarity measurefuzzy similarity measuretrees with duplicated attributes

作者：

Dianshuang Wu、Guangquan Zhang

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作者单位：

Decision Systems & e-Service Intelligence (DeSI) Lab, Centre for Quantum Computation & Intelligent Systems (QCIS), Faculty of Engineering and Information Technology, University of Technology, Sydney, P.O. Box 123, Broadway, NSW 2007, Australia

会议名称：

NLMUA 2011;International conference on nonlinear mathematics for uncertainty and its applications

会议地点：

Beijing(CN);Beijing(CN)

会议母体文献：

Nonlinear mathematics for uncertainty and its applications

页码：

p.333-340

出版时间：

2011