Name
Abstract | ||
|---|---|---|
In this note we elaborate on the concept and use of context adaptation. The underlying idea hinges upon a nonlinear transformation of an actual reference unit universe of discourse into a subset of reals, say [ a , b ], that is implied by actually available data (current context). Assuming a collection of fuzzy sets A = { A 1 , A 2 , …, A n } defined over [0, 1], the adaptation gives rise to a new frame of cognition A ′= { A 1 ′, A 2 ′, …, A n ′} expressed over [ a , b ]. Owing inherent nonlinearity of the developed mapping, different elements (fuzzy sets) of A can be “stretched” or “expanded” according to the given experimental data. Proposed is a neural network as a relevant optimization tool. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1016/S0165-0114(96)00057-7 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
fuzzy set,information granularity,context adaptation,nonlinear context adaptation,neurocomputing,knowledge representation,frame of cognition,neural network,universe of discourse | Knowledge representation and reasoning,Nonlinear system,Experimental data,Fuzzy mathematics,Fuzzy set,Artificial intelligence,Domain of discourse,Artificial neural network,Type-2 fuzzy sets and systems,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
88 | 1 | Fuzzy Sets and Systems |
Citations | PageRank | References |
26 | 2.71 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| W. Pedrycz | 1 | 13966 | 1005.85 |
| ricardo ribeiro gudwin | 2 | 134 | 50.59 |
| Fernando Gomide | 3 | 631 | 49.76 |