Interval-valued fuzzy sets were proposed thirty years ago as a natural extension of fuzzy sets. Many variants of these mathematical objects exist, under various names. One popular variant proposed by Atanassov starts by the specification of membership and non-membership functions. This paper focuses on interpretations of such extensions of fuzzy sets, whereby the two membership functions that d...

Abstract As a generalization of the fuzzy soft set, interval-valued set is viewed as more resilient and powerful tool for dealing with uncertain information. However, lower or upper membership degree, both them, may be missed during data collection transmission procedure, which could present challenges processing. The existing filling algorithm incomplete sets has low accuracy high error rate l...

Recently Burusco introduced interval-valued fuzzy formal contexts into fuzzy formal concept analysis. The most interesting work mainly including fuzzy attribute implications from fuzzy formal context, however, were presented under the framework of residuated lattice. In this paper, we first show that the study of interval-valued fuzzy set can be fitted into the framework of residuated lattice. ...

In this paper, the new set di§erence is deÖned between interval- ued intuitionistic fuzzy sets (IVIFSs).A di§erent perspective reduced to formal IVIFSs. This difference IVIFSs introduced by using : operation. Instead of comparing operator with all other operations, operation which defined \ used. Some fundamentel properties are provided and not on examined whether satisfy or alpha-operation. By...

If all we know about normalized fuzzy sets is which set is a subset of which, will we be able to detect crisp sets? It is known that we can do it if we allow all possible fuzzy sets, including non-normalized ones. In this paper, we show that a similar detection is possible if we only allow normalized fuzzy sets. We also show that we can detect type-1 fuzzy sets based on the subsethood ordering ...