Possibility expectation and its decision making algorithm

James M. Keller*, Bolin Yan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

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 be 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.

Original languageEnglish
Title of host publication92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE
PublisherPubl by IEEE
Pages661-668
Number of pages8
ISBN (Print)0780302362
StatePublished - 1992

Publication series

Name92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE

ASJC Scopus subject areas

  • General Engineering

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