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Forest volume estimation using nonlinear multiregression based on Choquet integrals
2009 International Conference on Machine Learning and Cybernetics, 2009Nonlinear multiregression based on choquet integrals has been widely researched. In this paper, a new estimation model of the forest volume using nonlinear multiregression based on Choquet integrals was established.
null Dong-Mei Huang +4 more
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A new nonlinear classification model based on cross-oriented Choquet integrals
International Conference on Information Science and Technology, 2011The nonadditive set function defined on the power set of all considered feature attributes can describe the interaction among the contributions from various feature attributes towards classification. The Choquet integral with respect to nonadditive set functions then is a proper aggregation tool in classifications with a nonlinear classifying boundary.
Zhenyuan Wang, Rong Yang, null Yong Shi
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Choquet integral representations of nonlinear filters with applications to ladar image processing
SPIE Proceedings, 1998The paper describes the application of Choquet integral filters to automatic object detection in laser radar (LADAR) imagery. Choquet integrals are nonlinear integrals with respect to non-additive measures. These integrals can be used to represent typical nonlinear filters such as order statistic filters, linear combination of order statistic filters ...
Ali K. Hocaoglu, Paul D. Gader
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Efficient and Scalable Nonlinear Multiple Kernel Aggregation Using the Choquet Integral
2014Previously, we investigated the definition and applicability of the fuzzy integral (FI) for nonlinear multiple kernel (MK) aggregation in pattern recognition. Kernel theory provides an elegant way to map multi-source heterogeneous data into a combined homogeneous (implicit) space in which aggregation can be carried out.
Lequn Hu +3 more
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2010 International Conference on Computer Application and System Modeling (ICCASM 2010), 2010
Multiregression is one of the most common approaches used in data mining. The crux of using a nonlinear multiregression model is how to effectively determine the unknown parameters. In this paper, PSO(Particle Swarm Optimization) is used to solve nonlinear multiregression based on generalized Choquet integrals.
null Tao Xiao +2 more
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Multiregression is one of the most common approaches used in data mining. The crux of using a nonlinear multiregression model is how to effectively determine the unknown parameters. In this paper, PSO(Particle Swarm Optimization) is used to solve nonlinear multiregression based on generalized Choquet integrals.
null Tao Xiao +2 more
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2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291), 2003
A nonlinear multiregression model is presented based on the generalized Choquet integral with respect to a signed fuzzy measure. In this model, the interaction among predictive attributes toward the objective attribute is depicted by a signed fuzzy measure.
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A nonlinear multiregression model is presented based on the generalized Choquet integral with respect to a signed fuzzy measure. In this model, the interaction among predictive attributes toward the objective attribute is depicted by a signed fuzzy measure.
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A Nonlinear Multiregression Model Based on the Choquet Integral for Analyzing the Course Records
2012The score of the final examination of a student has some relation to the previous records, such as the average score of quizzes, the scores of tests, the number of incomplete homework, and the number of absent class meetings. The relation is usually nonlinear since there are some interactions among the inherent but covert contributions from these ...
Zhenyuan Wang +3 more
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Pseudo-integral and generalized Choquet integral
Fuzzy Sets and Systems, 2022Radko Mesiar, Endre Pap
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