DocumentCode :
1165676
Title :
Fuzzy Sets Defined on a Hierarchical Domain
Author :
Thomopoulos, Rallou ; Buche, Patrice ; Haemmerlé, Ollivier
Author_Institution :
INRA, Montpellier
Volume :
18
Issue :
10
fYear :
2006
Firstpage :
1397
Lastpage :
1410
Abstract :
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
Keywords :
equivalence classes; fuzzy set theory; query processing; equivalence classes; hierarchical fuzzy sets; minimal fuzzy set; query enlargement; Bibliographies; Databases; Fuzzy sets; Lattices; Ontologies; Pattern matching; Possibility theory; Thesauri; Uncertainty; "fuzzy” and probabilistic reasoning; Fuzzy set; knowledge retrieval.; object hierarchies; relaxation; uncertainty;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/TKDE.2006.161
Filename :
1683774
Link To Document :
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