NDLI: An Intuitionistic Fuzzy Set Model for Concept Similarity Using Ontological Relations

Content Provider	IEEE Xplore Digital Library
Author	Fagui Liu Fen Xiao Yuedong Lin Yang Zhang
Copyright Year	2012
Abstract	Semantic similarity between ontological concepts plays an important role in service discovery and composition. In this paper, using the ontological relation, a novel intuitionistic fuzzy set model is proposed to interpret concepts on the ontology with three intuitionistic fuzzy sets of different weights, and an effective similarity measure of which is selected to calculate the concept similarity. The model successfully translates all the semantic information of a concept into mathematical expressions of intuitionistic fuzzy sets, thus concept similarity is easily calculated. It is designed to handle not only simple ontologies where only atomic concepts are presented, but also complex ones where concepts could inherit from multiple concepts and have semantic relations other than is-a with other concepts. The experimental result has shown that the model is effective, and it's easy to implement.
Starting Page	319
Ending Page	324
File Size	593974
Page Count	6
File Format	PDF
ISBN	9781467348256
DOI	10.1109/APSCC.2012.27
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy sets Computational modeling intuitionistic fuzzy set Semantics semantic web Whales Ontologies Fuzzy set theory concept similarity ontology
Content Type	Text
Resource Type	Article

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