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COVID-19 infection and cancer regression: a review of current evidence, potential mechanisms, and clinical perspectives on a Paradoxical phenomenon. [PDF]
Infect Agent CancerOgieuhi IJ +11 more
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Aczel Alsina t-norm and t-conorm-based aggregation operators under linguistic interval-valued intuitionistic fuzzy setting with application. [PDF]
PeerJ Comput SciSiab A +5 more
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On the orders of OWA operators
Journal of Intelligent & Fuzzy Systems, 2023 In this paper, we propose a partial ordering ⪯ on the set of ordered weighted averaging (OWA) operators. Based on this relation ⪯, we introduce the negation, conjunction and disjunction operations, and establish a bounded De Morgan lattice equipped with an involutive negation for OWA operators.
Songsong Dai, Jianwei Zheng
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Mm-OWA: A Generalization of OWA Operators
IEEE Transactions on Fuzzy Systems, 2018We characterize those operators that satisfy the properties of monotonicity, permutation invariance, positive homogeneity, and translation invariance. As these operators do not necessarily satisfy comonotonic additivity, their class is larger than that of ordered weighted averaging (OWA) operators.
Massimiliano Amarante
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Generalizations of OWA Operators
IEEE Transactions on Fuzzy Systems, 2015OWA operators can be seen as symmetrized weighted arithmetic means, as Choquet integrals with respect to symmetric measures, or as comonotone additive functionals. Following these three different looks on OWAs, we discuss several already known generalizations of OWA operators, including GOWA, IOWA, OMA operators, as well as we propose new types of such
Radko Mesiar +2 more
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Soft Computing, 1999
The basic properties of the Ordered Weighted Averaging (OWA) operator are recalled. The role of these operators in the formulation of multi-criteria decision functions, using the concept of quantifier guided aggregation, is discussed. An extended class of OWA operators, one based upon a relaxation of the requirements on the OWA operators, is introduced.
Ronald Yager
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The basic properties of the Ordered Weighted Averaging (OWA) operator are recalled. The role of these operators in the formulation of multi-criteria decision functions, using the concept of quantifier guided aggregation, is discussed. An extended class of OWA operators, one based upon a relaxation of the requirements on the OWA operators, is introduced.
Ronald Yager
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Generalized OWA Aggregation Operators
Fuzzy Optimization and Decision Making, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ronald Yager
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On the dispersion measure of OWA operators
Information Sciences, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ronald Yager
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Fuzzy Sets and Systems, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ronald Yager
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ronald Yager
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Quantitative orness for lattice OWA operators
Information Fusion, 2016We propose an orness measure for OWA operators defined on any complete lattice.Our parametrization satisfies local conditions imposed to orness measures.Result of a decision-making problem can be analyzed using our quantitative measure.The effect of several OWA operators in image reduction and denoising is also analyzed.
Humberto Bustince +2 more
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