Title :
Fuzzy measures of aggregated evidences
Author_Institution :
Fac. of Inf. Sci. & Eng., Univ. of Canberra, ACT, Australia
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;
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
DOI :
10.1109/NAFIPS.1996.534799
