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Possibility expectation and its decision making algorithm
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Yan, Bolin Keller, James M. |
| Copyright Year | 1992 |
| Description | The fuzzy integral has been shown to be an effective tool for the aggregation of evidence in decision making. Of primary importance in the development of a fuzzy integral pattern recognition algorithm is the choice (construction) of the measure which embodies the importance of subsets of sources of evidence. Sugeno fuzzy measures have received the most attention due to the recursive nature of the fabrication of the measure on nested sequences of subsets. Possibility measures exhibit an even simpler generation capability, but usually require that one of the sources of information possess complete credibility. In real applications, such normalization may not be possible, or even desirable. In this report, 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 with the results demonstrated on the shuttle-earth-space training and testing images. |
| File Size | 1084598 |
| Page Count | 16 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19930009037 |
| Archival Resource Key | ark:/13960/t6741pn5k |
| Language | English |
| Publisher Date | 1992-06-30 |
| Access Restriction | Open |
| Subject Keyword | Computer Programming And Software Computer Vision Fuzzy Sets Image Analysis Algorithms Integral Equations Decision Making Training Devices Pattern Recognition Expectation Space Shuttle Orbiters Aerospace Systems Fuzzy Systems Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
