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New Advances in Intelligent Decision Technologies: Results of the First KES International Symposium IDT'09 de Gloria Phillips-Wren

New Advances in Intelligent Decision Technologies: Results of the First KES International Symposium IDT'09: Studies in Computational Intelligence, cartea 199

Editat de Gloria Phillips-Wren
en Limba Engleză Paperback – 28 oct 2010
IDT (Intelligent Decision Technologies) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system.
It constitutes a great honor and pleasure for us to publish the works and new research results of scholars from the First KES International Symposium on Intelligent Decision Technologies (KES IDT’09), hosted and organized by University of Hyogo in conjunction with KES International (Himeji, Japan, April, 2009). The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Its topics included intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, genetic algorithms, expert systems, intelligent decision making support systems, information retrieval systems, geographic information systems, and knowledge management systems. These technologies have the potential to support decision making in many areas of management, international business, finance, accounting, marketing, healthcare, military applications, production, networks, traffic management, crisis response, and human interfaces.
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Specificații

ISBN-13: 9783642101601
ISBN-10: 3642101607
Pagini: 672
Ilustrații: XVI, 656 p.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.93 kg
Ediția:Softcover reprint of hardcover 1st ed. 2009
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Neural Network Inputs Selection for Breast Cancer Cells Classification.- Cognitive Information Systems for Medical Pattern Analysis and Diagnosis Support Technologies.- Development of an Intelligent Facial Expression Recognizer for Mobile Applications.- INTSOM: Gray Image Compression Using an Intelligent Self-Organizing Map.- Learning a Selection Problem of Investment Projects and Capital Structure through Business Game.- Evolution Prospection.- A Proposal of Context-Aware Service Composition Method Based on Analytic Hierarchy Process.- Flexible Widget Layout Formulated as Fuzzy Constraint Satisfaction Problem.- Modelling Probabilistic Causation in Decision Making.- A Library Marketing System for Decision Making.- Analysis of Four Wheeled Flexible Joint Robotic Arms with Application on Optimal Motion Design.- Finite Element Method and Optimal Control Theory for Path Planning of Elastic Manipulators.- Belief-Based Stability in Non-transferable Utility Coalition Formation with Uncertainty.- Side-Effect Inspection for Decision Making.- Knowledge Mining with a Higher-Order Logic Approach.- A New Pruning Technique for the Fuzzy ARTMAP Neural Network and Its Application to Medical Decision Support.- Image Color Space Transform with Enhanced KLT.- Interoperable Intelligent Agents in a Dynamic Environment.- Multilingual Agents in a Dynamic Environment.- Defining a Decision-Support Framework in AC3M.- An Intelligent Decision Support System Using Expert Systems in a MAS.- Decentralized Real-Time Control Algorithms for an AGV System.- Adaptive Decision Support for Dynamic Environments.- Evaluation of the Continuous Wavelet Transform for Feature Extraction of Metal Detector Signals in Automated Target Detection.- Hypertension Detection Using a Case-Based Reasoning Approach.- Improving Medical Database Consistency with Induced Trigger Rules.- Factorization of Sparse Bayesian Networks.- Incorporating Hopfield Neural Networks into Ant Colony System for Traveling Salesman Problem.- Analysis and Diagnosis of Cardiovascular Diseases through the Paraconsistent Annotated Logic.- Hierarchical Forecasting with Polynomial Nets.- Autonomous Mobile Robot Emmy III.- Output Enhancement of Impulse Noise Filters by Edge Detection and Neuro-fuzzy Processing.- An Algebraic Version of the Monadic System C1.- Some Three-Valued Temporal Logics for Future Contingents.- to Plausible Reasoning Based on EVALPSN.- Rough Set Reducts Based Classification.- Heterogeneous Multi-agents Learning Using Genetic Network Programming with Immune Adjustment Mechanism.- Analysis of Asymmetric Friendship among Students from Class Attendance Records.- Updating Background Image for Motion Tracking Using Particle Filter.- Driver Assistance Systems to Rate Drowsiness: A Preliminary Study.- Anomaly Foreground Detection through Background Learning in Video Surveillance.- Adaptive Alarm Filtering by Causal Correlation Consideration in Intrusion Detection.- Anomaly Detection via Over-Sampling Principal Component Analysis.- Towards a New Medical Decision Support System with Bio-inspired Interpretive Structural Modelling.- Construct an Approximation Decision Model of Medical Record by Neural Networks - The Ophthalmology Department as an Example.- A Multi Model Voting Enhancement for Newborn Screening Healthcare Information System.- Design and Implementation of Mobile Electronic Medication Administration Record.- Customer Relationship Management in Healthcare Service – An Integrated DSS Framework for Patient Loyalty.- Applying Fuzzy TOPSIS Approach for Evaluating RFID System Suppliers inHealthcare Industry.- An Aspect of Decision Making in Rough Non-deterministic Information Analysis.- A Value for Multi-alternative Games with Restricted Coalitions under the Equally Divided Spoils Assumption.- Variable Accessibility Models for Modal Logic on Topological Spaces.- A Heuristic Algorithm for Selective Calculation of a Better Relative Reduct in Rough Set Theory.- Rule Induction for Decision Tables with Ordered Classes.- Dynamic Index Fund Optimization by a Heuristic GA Method Based on Correlation Coefficients.- Simulation Modeling of Emergence-of-Money Phenomenon by Doubly Structural Network.- Detecting Environmental Changes through High-Resolution Data of Financial Markets.- A Stochastic Model for Pareto’s Law and the Log-Normal Distribution under the Detailed Balance and Extended-Gibrat’s Law.- Effect of Reputation on the Formation of Cooperative Network of Prisoners.- A Multi-agent Wideband Signal Detector.- Bayesian Estimation of GARCH Model with an Adaptive Proposal Density.- Elucidation of Industrial Structure of the Japanese Economy through Visualization and Community Analysis.

Textul de pe ultima copertă

IDT (Intelligent Decision Technologies) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system.
It constitutes a great honor and pleasure for us to publish the works and new research results of scholars from the First KES International Symposium on Intelligent Decision Technologies (KES IDT’09), hosted and organized by University of Hyogo in conjunction with KES International (Himeji, Japan, April, 2009). The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Its topics included intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, genetic algorithms, expert systems, intelligent decision making support systems, information retrieval systems, geographic information systems, and knowledge management systems. These technologies have the potential to support decision making in many areas of management, international business, finance, accounting, marketing, healthcare, military applications, production, networks, traffic management, crisis response, and human interfaces.

Caracteristici

Latest research on Intelligent Decision technologies Includes supplementary material: sn.pub/extras