Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
A method for inference in approximate reasoning based on interval-valued fuzzy sets
Fuzzy Sets and Systems
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy Sets and Systems
Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets
Fuzzy Sets and Systems
Construction of intuitionistic fuzzy relations with predetermined properties
Fuzzy Sets and Systems
The functional equations of Frank and Alsina for uninorms and nullnorms
Fuzzy Sets and Systems
Aggregation operators: properties, classes and construction methods
Aggregation operators
Is there a need for fuzzy logic?
Information Sciences: an International Journal
International Journal of Intelligent Systems
Fuzzy Sets and Systems
Advances and challenges in interval-valued fuzzy logic
Fuzzy Sets and Systems
Toward a generalized theory of uncertainty (GTU)--an outline
Information Sciences: an International Journal
On the representation of intuitionistic fuzzy t-norms and t-conorms
IEEE Transactions on Fuzzy Systems
Aggregation functions: Construction methods, conjunctive, disjunctive and mixed classes
Information Sciences: an International Journal
Information Sciences: an International Journal
A class of fuzzy multisets with a fixed number of memberships
Information Sciences: an International Journal
Models to determine parameterized ordered weighted averaging operators using optimization criteria
Information Sciences: an International Journal
Lattice-valued finite state machines and lattice-valued transformation semigroups
Fuzzy Sets and Systems
OWA operators defined on complete lattices
Fuzzy Sets and Systems
Aggregating fuzzy implications
Information Sciences: an International Journal
Information Sciences: an International Journal
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In this paper we prove that, under suitable conditions, Atanassov's K"@a operators, which act on intervals, provide the same numerical results as OWA operators of dimension two. On one hand, this allows us to recover OWA operators from K"@a operators. On the other hand, by analyzing the properties of Atanassov's operators, we can generalize them. In this way, we introduce a class of aggregation functions - the generalized Atanassov operators - that, in particular, include two-dimensional OWA operators. We investigate under which conditions these generalized Atanassov operators satisfy some properties usually required for aggregation functions, such as bisymmetry, strictness, monotonicity, etc. We also show that if we apply these aggregation functions to interval-valued fuzzy sets, we obtain an ordered family of fuzzy sets.