Fuzzy information retrieval based on a fuzzy pseudothesaurus
IEEE Transactions on Systems, Man and Cybernetics
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SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
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ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
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Journal of Intelligent Information Systems
IEEE Transactions on Fuzzy Systems
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ICCS '08 Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning
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EURASIP Journal on Advances in Signal Processing
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FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
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AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
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IEEE Transactions on Fuzzy Systems
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This paper presents a new type of fuzzy sets, called "Hierarchical Fuzzy Sets,” that apply when the considered domain of values is not "flat,” but contains values that are more specific than others according to the "kind of” relation. We study the properties of such fuzzy sets, that can be defined in a short way on a part of the hierarchy, or exhaustively (by their "closure”) on the whole hierarchy. We show that hierarchical fuzzy sets form equivalence classes in regard to their closures and that each class has a particular representative called "minimal fuzzy set.” We propose a use of this minimal fuzzy set for query enlargement purposes and, thus, present a methodology for hierarchical fuzzy set generalization. We finally present an experimental evaluation of the theoretical results described in the paper, in a practical application.