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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 ...
Application of two different methods for extending lattice-valued restricted equivalence functions used for constructing similarity measures on L-fuzzy sets
(Elsevier, 2018)
Artículo / Artikulua,
Based on previous investigations, we have proposed two different methods
to extend lattice-valued fuzzy connectives (t-norms, t-conorms, negations
and implications) and other related operators, considering a generalized ...
A study of different families of fusion functions for combining classifiers in the one-vs-one strategy
(Springer, 2018)
info:eu-repo/semantics/conferenceObject,
In this work we study the usage of different families of fusion functions for combining classifiers in a multiple classifier system of One-vs-One (OVO) classifiers. OVO is a decomposition strategy used to deal with multi-class ...
On the influence of admissible orders in IVOVO
(Springer, 2019)
info:eu-repo/semantics/conferenceObject,
It is known that when dealing with interval-valued data, there exist problems associated with the non-existence of a total order. In this work we investigate a reformulation of an interval-valued decomposition strategy for ...
OWA operators based on admissible permutations
(IEEE, 2019)
info:eu-repo/semantics/conferenceObject,
In this work we propose a new OWA operator defined on bounded convex posets of a vector-lattice. In order to overcome the non-existence of a total order, which is necessary to obtain a non-decreasing arrangement of the ...
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 ...
Nested formulation paradigms for induced ordered weighted averaging aggregation for decision‐making and evaluation
(Wiley, 2019)
info:eu-repo/semantics/article,
Existing extensions to Yager's ordered weighted aver-aging (OWA) operators enlarge the application rangeand to encompass more principles and properties relatedto OWA aggregation. However, these extensions do notprovide a ...