Breast cancer survival prognosis using the graph convolutional network with Choquet fuzzy integral. [PDF]
Sci Rep, 2023 Palmal S, Arya N, Saha S, Tripathy S.
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On the moments and the distribution of the Choquet integral [PDF]
, 2007 We investigate the distribution functions and the moments of the so-called Choquet integral, also known as the Lovász extension, when regarded as a real function of a random sample drawn from a continuous population. Since the Choquet integral includes weighted arithmetic means, ordered weighted averaging operators, and lattice polynomials as ...
Kojadinovic, Ivan, Marichal, Jean-Luc
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Using the Choquet integral for the determination of the anxiety degree
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria MatematicaOne considers a group S of subjects and one uses the measured values of EEG waves and the levels of anxiety given by the psychologists for the members of S in order to construct a monotone measure µ.
Chiţescu Ion +2 more
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New horizon in fuzzy distributions: statistical distributions in continuous domains generated by Choquet integral. [PDF]
Soft comput, 2023 Mehri-Dehnavi H, Agahi H, Mesiar R.
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Deviation-support based fuzzy ensemble of multi-modal deep learning classifiers for breast cancer prognosis prediction. [PDF]
Sci Rep, 2023 Arya N, Saha S.
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A note on ?d-Choquet integrals: Choquet integrals based on dissimilarities?
[EN] The d-Choquet integral extends the classical Choquet integral by substituting the difference operator with a restricted dissimilarity function. Bustince et al. introduced Property (P1) in 2021 to ensure the boundedness of this generalized integral within the unit interval. In this note, we emphasize the necessity of revising this property.
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Welfare of cattle kept in intensive silvopastoral systems: A case report
Revista Brasileira de ZootecniaThe objective of this research was to evaluate the effect of three different intensive silvopastoral systems (ISPS) on cattle animal welfare (AW) in Colombia. The three ISPS differed in area, plant composition, and grazing periods as follows: ISPS1 - low
Ariel Marcel Tarazona Morales +5 more
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Three-level model for opinion aggregation under hesitance. [PDF]
Soft comput, 2023 Zapletal F +3 more
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On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions. [PDF]
Sensors (Basel), 2021 Kaczorowska M +3 more
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