Results 161 to 170 of about 12,428 (212)

Hybrid deep learning framework for heart disease prediction using ECG signal images. [PDF]

Sci Rep
Dhandapani S, Somasundaram H, Angamuthu T.   +2 more
europepmc   +1 more source

Dysregulation of septin cytoskeletal organization in the trabecular meshwork contributes to ocular hypertension. [PDF]

JCI Insight
Maddala R, Gorijavolu P, Lankford LK, Skiba NP, Challa P, Singh RK, Nair KS, Choquet H, Rao PV.   +8 more
europepmc   +1 more source

Emerging Technologies in Edge Computing and Networking. [PDF]

Sensors (Basel)
Prieto J, Durán Barroso RJ.
europepmc   +1 more source

AI for Sustainable Recycling: Efficient Model Optimization for Waste Classification Systems. [PDF]

Sensors (Basel)
Chacón-Albero O, Campos-Mocholí M, Marco-Detchart C, Julian V, Rincon JA, Botti V.   +5 more
europepmc   +1 more source

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Collection integral vs. Choquet integral

Fuzzy Sets and Systems, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Adam Šeliga, Peter Smrek
openaire   +2 more sources

Nonmonotonic Choquet integrals

Journal of Mathematical Economics, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Waegenaere, A., Wakker, P.P.
openaire   +6 more sources

Computing Choquet integrals

Fuzzy Sets and Systems, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chiţescu, Ion, Plăviţu, Anca
openaire   +1 more source

Choquet Integral Ridge Regression

2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020
The Choquet integral (ChI) is an aggregation function that is defined with respect to a fuzzy measure (FM). Many ChI-based decision aggregation methods have been proposed to learn the underlying FM. However, FM's boundary and monotonicity constraints have limited the applicability of such methods to decision-level fusion.
Siva K. Kakula, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson   +3 more
openaire   +1 more source

SET DEFUZZIFICATION AND CHOQUET INTEGRAL

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001
In this paper, we discuss the defuzzification problem. We first propose a set defuzzification method, (from a fuzzy set to a crisp set) by using the Aumann integral. From the obtained set to a point, we have two methods of defuzzification. One of these uses the mean value method and the other uses a fuzzy measure.
Ogura, Yukio, Li, Shoumei, Ralescu, Dan A.   +2 more
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Multi-polar Choquet integral

Fuzzy Sets and Systems, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mesiarová-Zemánková, Andrea, Ahmad, Khurshid   +1 more
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