
In this paper the technique of the direct and inverse fuzzy transform is introduced and approximation properties of the inverse fuzzy transform are established. Two new fuzzy transforms based on operations of a residuated lattice on \([0,1]\) are introduced. These new lattice fuzzy transforms lead to new approximation models. Three types of the inverse fuzzy transforms are compared. A method of lossy image compression and reconstruction on the basis of the fuzzy transform is presented as an application.
Abstract approximation theory (approximation in normed linear spaces and other abstract spaces), fuzzy transform, universal approximation, fuzzy partition, Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science), data compression
Abstract approximation theory (approximation in normed linear spaces and other abstract spaces), fuzzy transform, universal approximation, fuzzy partition, Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science), data compression
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 468 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
