A fuzzy-valued matching index

Author

Sudkamp, Thomas ; Cross, Valerie

Author_Institution

Dept. of Comput. Sci., Wright State Univ., Dayton, OH, USA

Volume

2

fYear

1996

fDate

8-11 Sep 1996

Firstpage

1320

Abstract

The properties of a fuzzy-valued index of the degree of matching of two fuzzy sets and its relationship to point-valued measures are examined. The fuzzy matching index is based on the Jaccard index applied to the level sets. Assessing the degree of matching using a fuzzy set produces a more comprehensive summarization of similarity than can be obtained using the standard point-valued indices. The fuzzy-valued index is shown to satisfy a generalization the criteria of Dubois and Prade for matching indices. The fuzzy set representation increases the range of criteria that can be specified and used as thresholds in applications that employ matching in selection or inference

Keywords

fuzzy set theory; inference mechanisms; pattern matching; uncertainty handling; Dubois-Prade criteria; Jaccard index; approximate reasoning; fuzzy set theory; fuzzy-valued matching index; generalization; inference; similarity; summarization; Artificial intelligence; Fuzzy reasoning; Fuzzy sets; Pattern analysis; Pattern recognition; Performance evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3645-3

Type

conf

DOI

10.1109/FUZZY.1996.552368

Filename

552368