DocumentCode
2598793
Title
Fuzzy measures of aggregated evidences
Author
Le, Kim
Author_Institution
Fac. of Inf. Sci. & Eng., Univ. of Canberra, ACT, Australia
fYear
1996
fDate
19-22 Jun 1996
Firstpage
572
Lastpage
576
Abstract
An expression to evaluate a fuzzy measure from a set of aggregated evidences is introduced. The measure can be used in various applications such as medical diagnosis, approximate decision, voice recognition, etc. The use of the measure gives results comparable with those using other measures, including distance
Keywords
fuzzy set theory; inference mechanisms; pattern recognition; uncertainty handling; aggregated evidence; approximate decisions; approximate reasoning; fuzzy measure; fuzzy set; medical diagnosis; pattern recognition; voice recognition; Australia; Biomedical engineering; Equations; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Medical diagnosis; Pattern recognition; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American
Conference_Location
Berkeley, CA
Print_ISBN
0-7803-3225-3
Type
conf
DOI
10.1109/NAFIPS.1996.534799
Filename
534799
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