Fuzzy machine learning framework
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Description: Fuzzy machine learning framework is a library of ADA packages and a GUI front-end based on graph-schemes, intuitionistic fuzzy sets and the possibility theory. Sources can be used on any platform where an Ada 2005 compiler is available. [GPL]
Fuzzy machine learning, synopsis ased on the intuitionistic fuzzy sets and the possibility theory . Fuzzy approach is fully utilized by using intuitionistic sets extended to represent not only data within same framework. Consequently the results of the possibility theory are generalized for the case of contradictory data. Same as with the shades of uncertainty we introduce the shades of contradiction from feasible to infeasible. This allows us to operate uncertain and contradictory data in a unified, certain and feasible way.
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| Page title: | Fuzzy machine learning, synopsis |
| Keywords: | Fuzzy, Machine learning, Learning with a teacher, Graph, Fuzzy graph, Graph-scheme, Artificial intelligence, Possibility, Necessity, Possibility theory, Ada, GTK, GTK+ |
| Description: | Fuzzy machine learning, synopsis |
| IP-address: | 81.169.145.158 |
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| WHOIS | Status: connect |
| Date | Changed: 2012-04-02T07:28:38+02:00 Changed: 2008-09-17T17:12:12+02:00 Changed: 2008-09-17T17:12:06+02:00 |