An Intuitionistic Fuzzy Set Model for Concept Similarity Using Ontological Relations

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.