Innovative Issues in Intelligent Systems

A realistic Overview of Intelligent Systems in Industry.-Prediction of the Attention Area in Ambient Intelligence Tasks Using AdaptiveNeuro-Fuzzy Inference System (ANFIS).- Chapter III. Integration of KnowledgeComponents in Hybrid Intelligent Control Systems.- Learning IntelligentControls in High Speed Networks: Synergies of Computational Intelligence withControl and Q-Learning Theories.- Logical Operations and Inference in theComplex S-logic.- Generalized Nets as Tools for Modelling of Data MiningProcesses.- Induction of Modular Classification Rules by Information EntropyBased Rule Generation.- Proposals for Knowledge Driven and Data DrivenApplications in Security Systems.- On intuitionistic Fuzzy Operators from ModalTypes.- Uncertain Switched Fuzzy Systems: A Robust Output Feedback ControlDesign.- Multistep Modeling for Approximation and Classification by Use of RBFNetwork Models.