DocumentCode
3452530
Title
Possibility expectation and its decision making algorithm
Author
Keller, James M. ; Yan, Bolin
Author_Institution
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
fYear
1992
fDate
8-12 Mar 1992
Firstpage
661
Lastpage
668
Abstract
Both the theory and a decision making algorithm for a variation of the fuzzy integral are presented. This integral is based on a possibility measure where it is not required that the measure of the universe by unity. A training algorithm for the possibility densities in a pattern recognition application is also presented. The algorithm was run on the IRIS data set and the results compared to results for the Bayesian classifier
Keywords
decision theory; fuzzy set theory; pattern recognition; Bayesian classifier; IRIS data set; decision making algorithm; fuzzy integral; pattern recognition; possibility densities; possibility expectation; possibility measure; training algorithm; Algorithm design and analysis; Bayesian methods; Decision making; Density measurement; Fuses; Image recognition; Information resources; Iris; Particle measurements; Pattern recognition; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location
San Diego, CA
Print_ISBN
0-7803-0236-2
Type
conf
DOI
10.1109/FUZZY.1992.258738
Filename
258738
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