DocumentCode :
841701
Title :
Distance measure for attributed fuzzy tournaments
Author :
Shaout, A. ; Suk, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA
Volume :
139
Issue :
5
fYear :
1992
fDate :
9/1/1992 12:00:00 AM
Firstpage :
373
Lastpage :
378
Abstract :
Attributed fuzzy tournaments (AFTs) are a special type of attributed fuzzy graph that are useful to represent uncertainties inherent to many real-world problems. A new distance measure between two AFTs is defined. Useful applications of the proposed distance measure can be found in scene matching, where the nodes of an AFT represent the objects in the scene and the arcs represent the relationships among the objects. Uncertainties of the scene are represented by fuzzy membership values associated with the nodes and arcs. Examples illustrating the usefulness of the distance measure in pattern matching are shown through handwritten English character recognition.
Keywords :
fuzzy logic; fuzzy set theory; pattern recognition; picture processing; attributed fuzzy graph; attributed fuzzy tournaments; distance measure; fuzzy membership values; handwritten English character recognition; pattern matching; scene matching; uncertainties;
fLanguage :
English
Journal_Title :
Computers and Digital Techniques, IEE Proceedings E
Publisher :
iet
ISSN :
0143-7062
Type :
jour
Filename :
159851
Link To Document :
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