Innovative Issues in Intelligent Systems

This book presents a broad variety of different contemporary IT methods and applications in Intelligent Systems is displayed. Every book chapter represents a detailed, specific, far reaching and original re-search in a respective scientific and practical field. However, all of the chapters share the common point of strong similarity in a sense of being innovative, applicable and mutually compatible with each other. In other words, the methods from the different chapters can be viewed as bricks for building the next generation “thinking machines” as well as for other futuristic logical applications that are rapidly changing our world nowadays.

Table of Contents

Chapter 1 Intelligent Systems in Industry
Chapter 2 Prediction of the Attention Area in Ambient Intelligence Tasks
Chapter 3 Integration of Knowledge Components in Hybrid Intelligent Control Systems
Chapter 4 Learning Intelligent Controls in High Speed Networks: Synergies of Computational Intelligence with Control and Q-Learning Theories
Chapter 5 Logical Operations and Inference in the Complex s-Logic
Chapter 6 Generalized Nets as a Tool for the Modelling of Data Mining Processes
Chapter 7 Induction of Modular Classification Rules by Information Entropy Based Rule Generation
Chapter 8 Proposals for Knowledge Driven and Data Driven Applications in Security Systems
Chapter 9 On Some Modal Type Intuitionistic Fuzzy Operators
Chapter 10 Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design
Chapter 11 Multistep Modeling for Approximation and Classification by Use of RBF Network Models