On fuzzy convexity and parametric fuzzy optimization
Fuzzy Sets and Systems
Aggregation operators: properties, classes and construction methods
Aggregation operators
L-fuzzy numbers and their properties
Information Sciences: an International Journal
Information Sciences: an International Journal
Aggregation functions: Construction methods, conjunctive, disjunctive and mixed classes
Information Sciences: an International Journal
Aggregation Operators and Commuting
IEEE Transactions on Fuzzy Systems
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Quasiconvexity of a fuzzy set is the necessary and sufficient condition for its cuts to be convex. We study the class of those two variable aggregation operators that preserve quasiconvexity on a bounded lattice, i.e. A(@m,@n) is quasiconvex for quasiconvex lattice valued fuzzy sets @m, @n. The class of all such aggregation operators is characterized by a lattice identity that they have to fulfill. In case of a unit interval we show the construction of aggregation operators preserving quasiconvexity from a pair of real valued functions on the unit interval. As a consequence we get that the intersection of quasiconvex fuzzy sets is quasiconvex if and only if the intersection is based on the minimum triangular norm.