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A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification. [PDF]

Sci Rep
Kumar S, Sharma YK, Kumar M, Lilhore UK, Aldossary SMA, Simaiya S, Khan MM, Hussien SA, Ghith ES.   +8 more
europepmc   +1 more source

Helmholtz operators on infinite graphs. [PDF]

Heliyon
Manivannan VR, Venkataraman M.
europepmc   +1 more source

Group decision support system based on multi-granular fractional orthotriple fuzzy 2-tuple linguistic information model. [PDF]

Heliyon
Qiyas M, Naeem M, Khan N, Khan F.
europepmc   +1 more source

A New Ecosystem-Based Cumulative Effects Assessment Framework to Enhance Strategic Environmental Assessment of Marine Spatial Plans. [PDF]

Environ Manage
Morejón V, González Del Campo A, Galparsoro I, Pedreschi D.   +3 more
europepmc   +1 more source

Transfer learning based osteoporosis prediction using enhanced medical imaging and fuzzy fusion. [PDF]

Sci Rep
Kaur N, Khan S, Alazman I, Bin-Asfour M, Alam MN, Balasubramaniam V, Whig P.   +6 more
europepmc   +1 more source

Measuring Social Inclusion in Europe: a non-additive approach with the expert-preferences of public policy planners. [PDF]

J R Stat Soc Ser A Stat Soc
Carrino L, Farnia L, Giove S.
europepmc   +1 more source

Temporal dynamics and intra-farm variability of animal welfare indicators in fattening pigs. [PDF]

Front Vet Sci
Aguilar-Vega C, Velarde A, Segalés J, Pérez D, Bagaria M, Garcia-Morante B.   +5 more
europepmc   +1 more source

d-Choquet integrals: Choquet integrals based on dissimilarities

Fuzzy Sets and Systems, 2021
The paper introduces a new class of functions from [0,1]n to [0,n] called d-Choquet integrals. These functions are a generalization of the 'standard' Choquet integral obtained by replacing the difference in the definition of the usual Choquet integral by a dissimilarity function. In particular, the class of all d-Choquet integrals encompasses the class
Graçaliz Pereira Dimuro, Humberto Bustince, Daniel Paternain   +2 more
exaly   +4 more sources

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Numerical integration for the Choquet integral

Information Fusion, 2016
Study of the Choquet integral for continuous functions.Numerical integration for the Choquet integral on the real line.Numerical examples of the computation of the numerical Choquet integral.Numerical computation of the Hellinger distance for fuzzy measures.
Yasuo Narukawa, Vicenç Torra
exaly   +2 more sources