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 language | English |
|---|---|
| Title of host publication | 92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE |
| Publisher | Publ by IEEE |
| Pages | 661-668 |
| Number of pages | 8 |
| ISBN (Print) | 0780302362 |
| State | Published - 1992 |
Publication series
| Name | 92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE |
|---|
ASJC Scopus subject areas
- General Engineering