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Some characterizations of lattice OWA operators
(World Scientific Publishing Company, 2017)
Artículo / Artikulua,
Ordered Weighted Averaging (OWA) operators are a family of aggregation which fusion data. If the data are real numbers, then OWA operators can be characterized either as an special kind of Choquet integral or simply as an ...
Orness measurements for lattice m-dimensional interval-valued OWA operators
(Elsevier, 2018)
Artículo / Artikulua,
Ordered weighted average (OWA) operators are commonly used to aggregate
information in multiple situations, such as decision making problems or image
processing tasks.
The great variety of weights that can be chosen to ...
The interval-valued Choquet integral based on admissible permutations
(IEEE, 2018)
info:eu-repo/semantics/article,
Aggregation or fusion of interval data is not a trivial task, since the necessity of arranging data arises in many aggregation functions, such as OWA operators or the Choquet integral. Some arranging procedures have been ...
Orness for real m-dimensional interval-valued OWA operators and its application to determine a good partition
(Taylor & Francis, 2019)
info:eu-repo/semantics/article,
Ordered Weighted Averaging (OWA) operators are a profusely applied class of averaging aggregation functions, i.e. operators that always yield a value between the minimum and the maximum of the inputs. The orness measure ...