Intelligent Techniques and Tools for Novel System Architectures

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Chountas, Panagiotis (Επιμελητής έκδοσης), Petrounias, Ilias (Επιμελητής έκδοσης), Kacprzyk, Janusz (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Studies in Computational Intelligence, 109
• Θέματα: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

 This volume provides a source wherein academics, researchers and practitioners may derive high-quality, original and state-of-the-art papers describing theoretical aspects, systems architectures, analysis and design tools and techniques, and implementation experiences in intelligent systems where information and knowledge management should be mainly characterised as a net-centric infrastructure riding on the fifth wave of "distributed intelligence". An urgent need for editing such a volume has occurred as a result of vivid discussions and presentations at the "IEEE-IS’ 2006 – The 2006 Third International IEEE Conference on Intelligent Systems" held in London, UK, at the University of Westminster in the beginning of September, 2006. This book is a compilation of many valuable inspiring works written by both the conference participants and some other experts in this new and challenging field. 

 Intelligent-Enterprises and Service Orchestration -- Applying Data Mining Algorithms to Calculate the Quality of Service of Workflow Processes -- Utilisation Organisational Concepts and Temporal Constraints for Workflow Optimisation -- Extending the Resource-Constrained Project Scheduling Problem for Disruption Management -- Intelligent Search and Querying -- On the Evaluation of Cardinality-Based Generalized Yes/No Queries -- Finding Preferred Query Relaxations in Content-Based Recommenders -- Imprecise Analogical and Similarity Reasoning about Contextual Information -- Fuzzy Sets and Systems -- A Method for Constructing V. Young’s Fuzzy Subsethood Measures and Fuzzy Entropies -- An Incremental Learning Structure Using Granular Computing and Model Fusion with Application to Materials Processing -- Switched Fuzzy Systems: Representation Modelling, Stability Analysis, and Control Design -- On Linguistic Summarization of Numerical Time Series Using Fuzzy Logic with Linguistic Quantifiers -- Biomedical and Health Care Systems -- Using Markov Models for Decision Support in Management of High Occupancy Hospital Care -- A Decision Support System for Measuring and Modelling the Multi-Phase Nature of Patient Flow in Hospitals -- Real-Time Individuation of Global Unsafe Anomalies and Alarm Activation -- Support Vector Machines and Neural Networks as Marker Selectors in Cancer Gene Analysis -- An Intelligent Decision Support System in Wireless-Capsule Endoscopy -- Knowledge Discovery and Management -- Formal Method for Aligning Goal Ontologies -- Smart Data Analysis Services -- Indexing Evolving Databases for Itemset Mining -- Likelihoods and Explanations in Bayesian Networks -- Towards Elimination of Redundant and Well Known Patterns in Spatial Association Rule Mining -- Alternative Method for Incrementally Constructing the FP-Tree -- Intuitonistic Fuzzy Sets and Systems -- On the Intuitionistic Fuzzy Implications and Negations -- On the Probability Theory on the Atanassov Sets -- Dilemmas with Distances Between Intuitionistic Fuzzy Sets: Straightforward Approaches May Not Work -- Fuzzy-Rational Betting on Sport Games with Interval Probabilities -- Atanassov’s Intuitionistic Fuzzy Sets in Classification of Imbalanced and Overlapping Classes -- Representation of Value Imperfection with the Aid of Background Knowledge: H-IFS -- Tracking Systems -- Tracking of Multiple Target Types with a Single Neural Extended Kalman Filter -- Tracking Extended Moving Objects with a Mobile Robot -- A Bayesian Solution to Robustly Track Multiple Objects from Visual Data.