Yang, RongRongYangWang, Zhen yuanZhen yuanWangHeng, Peng-AnnPeng-AnnHengProf. LEUNG Kwong Sak2023-03-232023-03-232008IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2008, Vol. 38 (2), pp. 367 - 38010834419http://hdl.handle.net/20.500.11861/7557In this paper, the original Choquet integral is generalized as a Fuzzified Choquet Integral with a Fuzzy-valued Integrand (FCIFI), which supports a fuzzy-valued integrand and an integration result. The calculation of the FCIFI is established on the Choquet integral with an interval-valued integrand (CIII). The definitions, properties, and calculation algorithms of the CIII and the FCIFI are discussed and proposed in this paper. As a specific application scheme, we designed a CIII regression model for the regression problems involving interval-valued data. This CIII regression model has a self-learning ability through a double genetic algorithm. Finally, a daily temperature predictor based on the CIII regression model is discussed, where a series of experiments is implemented to validate the performance of the predictor by real weather records from the Hong Kong Observatory. © 2008 IEEE.enIntegrandChoquet IntegralPredictive PerformanceSeries of ExperimentsDaily TemperatureRainfallTemperature RangeTraining DatasetMaximum TemperatureMinimum TemperatureRandom GenerationUnknown ParametersInterval ValuesInterval DataReal-Valued FunctionFuzzy Set TheoryFuzzy NumbersFuzzy ValuesRelative Humidity RangeFuzzy MeasureIndividual Fitness ValueWeather IndexCrisp NumbersGenetic Algorithm ApproachMinimum Relative HumidityPopulation of IndividualsRegression CoefficientsWeather DataCoefficients of Regression ModelPeer Reviewed Journal Article10.1109/TSMCB.2007.911377