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Aggregation functions based on the Choquet integral applied to image resizing
(Atlantis Press, 2019)
info:eu-repo/semantics/conferenceObject,
The rising volume of data and its high complexity has brought the need of developing increasingly efficient knowledge extraction techniques, which demands efficiency both in computational cost and in accuracy. Most of ...
Fuzzy rule-based classification systems for multi-class problems using binary decomposition strategies: on the influence of n-dimensional overlap functions in the fuzzy reasoning method
(Elsevier, 2016)
Artículo / Artikulua,
Multi-class classification problems appear in a broad variety of real-world problems, e.g., medicine, genomics, bioinformatics, or computer vision. In this context, decomposition strategies are useful to increase the ...
Improving the performance of fuzzy rule-based classification systems based on a nonaveraging generalization of CC-integrals named C-F1F2-integrals
(IEEE, 2019)
info:eu-repo/semantics/article,
A key component of fuzzy rule-based classification systems (FRBCS) is the fuzzy reasoning method (FRM) since it infers the class predicted for new examples. A crucial stage in any FRM is the way in which the information ...
A historical account of types of fuzzy sets and their relationships
(IEEE, 2016)
info:eu-repo/semantics/article,
In this work we review the definition and basic
properties of the different types of fuzzy sets that have appeared
up to now in the literature. We also analyze the relationships
between them and enumerate some of the ...
Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: towards a wider view on their relationship
(IEEE, 2015)
info:eu-repo/semantics/article,
In this paper, we will present a wider view on the
relationship between interval-valued fuzzy sets and interval type-
2 fuzzy sets where we will show that interval-valued fuzzy sets
are a particular case of the interval ...
Join and meet operations for type-2 fuzzy sets with non-convex secondary memberships
(IEEE, 2016)
info:eu-repo/semantics/article,
In this paper we will present two theorems for the
join and meet operations for general type-2 fuzzy sets with
arbitrary secondary memberships, which can be non-convex
and/or non-normal type-1 fuzzy sets. These results ...
Comments on "Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: towards a wider view on their relationship" [2]
(IEEE, 2016)
info:eu-repo/semantics/other,
This letter makes some observations about “Interval
type-2 fuzzy sets are generalization of interval-valued fuzzy sets:
Towards a wide view on their relationship,” IEEE Trans. Fuzzy
Systems that further support the ...
Some properties of implications via aggregation functions and overlap functions
(Taylor & Francis, 2014)
Artículo / Artikulua,
In this work, using the identification between implication operators and aggregation functions, we study
the implication operators that are recovered from overlap functions. In particular, we focus in which
properties ...
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 ...
Type-2 fuzzy entropy-sets
(IEEE, 2017)
Artículo / Artikulua,
The final goal of this study is to adapt the concept
of fuzzy entropy of De Luca and Termini to deal with Type-2
Fuzzy Sets. We denote this concept Type-2 Fuzzy Entropy-Set.
However, the construction of the notion of ...