Results 121 to 130 of about 63,918 (154)
Some of the next articles are maybe not open access.
A new genetic algorithm for nonlinear multiregressions based on generalized Choquet integrals
The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03., 2004This paper gives a new genetic algorithm for nonlinear multiregression based on generalized Choquet integrals with respect to signed fuzzy measures. Unlike the previous work where the values of the signed fuzzy measure are determined by random search in a genetic algorithm with other regression coefficients together; in this new algorithm, they are ...
null Zhenyuan Wang, null Hai-Feng Guo
openaire +1 more source
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Decomposition ensemble forecasting with nonlinear artificial intelligence methods has been widely used in tourism demand forecasting. Because of the high practicality of the Choquet fuzzy integral for performance evaluation in the field of multiple ...
Yi-Chung Hu, Geng Wu
semanticscholar +1 more source
Decomposition ensemble forecasting with nonlinear artificial intelligence methods has been widely used in tourism demand forecasting. Because of the high practicality of the Choquet fuzzy integral for performance evaluation in the field of multiple ...
Yi-Chung Hu, Geng Wu
semanticscholar +1 more source
Visualization and learning of the Choquet integral with limited training data
IEEE International Conference on Fuzzy Systems, 2017The fuzzy integral (FI) is a nonlinear aggregation operator whose behavior is defined by the fuzzy measure (FM). As an aggregation operator, the FI is commonly used for evidence fusion where it combines sources of information based on the worth of each ...
Anthony J. Pinar +3 more
semanticscholar +1 more source
International Journal of Quality & Reliability Management
This study bridges a critical literature gap by proposing a novel quality function deployment (QFD) framework that integrates the intuitionistic fuzzy Choquet integral (IFCI) with group decision-making (GDM) for the medical devices industry.
G. Duman, Brian Vo, Elif Kongar
semanticscholar +1 more source
This study bridges a critical literature gap by proposing a novel quality function deployment (QFD) framework that integrates the intuitionistic fuzzy Choquet integral (IFCI) with group decision-making (GDM) for the medical devices industry.
G. Duman, Brian Vo, Elif Kongar
semanticscholar +1 more source
A Hybrid Nonlinear Classifier Based on Generalized Choquet Integrals
2004In this new hybrid model ofnonlinear classifier, unlike the classical linear classifier where the feature attributes influence the classifying attribute independently, the interaction among the influences from the feature attributes toward the classifying attribute is described by a signed fuzzy measure. An optimized Choquet integral with respect to an
Zhenyuan Wang +3 more
openaire +1 more source
A Nonlinear Integral Which Generalizes Both the Choquet and the Sugeno Integral
2010The Choquet and the Sugeno integral provide a useful tool in many problems in engineering and social choice where the aggregation of data is required. However, their applicability is somehow restricted because of the special operations used in the construction of these integrals.
Erich Peter Klement +2 more
openaire +1 more source
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.
openaire +1 more source
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.
openaire +1 more source
Federated Choquet Regression with LASSO for Outcome Prediction in Multisite Longitudinal Trial Data
ACM Trans. Comput. Heal.Aggregating person-level data across multiple clinical study sites is often constrained by privacy regulations, necessitating the development of decentralized modeling approaches in biomedical research.
Semyon Lomasov, Hua Fang, Honggang Wang
semanticscholar +1 more source