Tweedale J.W., Neves-Silva R., Jain L.C., Phillips-Wren G., Watada J., Howlett R.J. (eds.) Intelligent Decision Technology Support in Practice

Springer, 2016. — 279 p.The Intelligent Decision-making Technologies (IDT) domain is a fast growing area of research that integrates various aspects of computer science and information systems. This includes intelligent systems, intelligent technology, intelligent agents, artificial intelligence, fuzzy logic, neural networks, machine learning, knowledge discovery, computational intelligence, data science, big data analytics, inference engines, recommender systems or engines, and a variety of related disciplines. Innovative applications that emerge using IDT often have a significant impact on decision-making processes in government, industry, business, and academia in general. This is particularly pronounced in finance, accounting, healthcare, computer networks, real-time safety monitoring and crisis response systems. Similarly, IDT is commonly used in military decisions-making systems, security, marketing, stock market prediction, and robotics.
This is the main reason why KES International (UK) made a great conceptual decision in 2009 when it organized the annual international conference on Intelligent Decision making Technologies (KES-IDT). The main goal of this professional meeting is to provide scholars, developers and practitioners with an excellent opportunity to meet well-known experts from all over the world and discuss innovative ideas, findings and results of research project, applications, and best practices in emerging intelligent decision making technology area.
The main content of this book is based on research papers and presentations of the 2013 KES-IDT international conference. The book provides a well-thought out and balanced combination of carefully selected papers that cover various challenging theoretical aspects, sounding technological achievements, real-world practical applications, and implementations of intelligent decision making technologies. The chapters deliver practical and quite often complementary problem-solving techniques. The depth and breadth of this ground-breaking content employs numerous IDT tools, techniques, and methodologies to generate innovative applications. Intelligent Decision Technology Support in Practice will undoubtedly be a valuable reference for experts, researchers, and Ph.D. students in the intelligent decision-making technologies domain.Advances in Intelligent Decision-Making Technology Support
Asset Management Strategies: Risk and Transaction Costs in Simulation
Decision Support System for Energy Savings and Emissions Trading in Industrial Scenarios
A Parsimonious Radial Basis Function-Based Neural Network for Data Classification
Personalized Intelligent Mobility Platform: An Enrichment Approach Using Social Media
Exploiting Alternative Knowledge Visualizations and Reasoning Mechanisms to Enhance Collaborative Decision Making
Decision-Making in a Distributed and Dynamically Scalable Environments
Enhancing the Tactical Data Link Decision Support System
AC3M: The Agent Coordination and Cooperation Cognitive Model
Wind Rendering in 3D Modeling Landscape Scenes
Extending the Service Oriented Architecture to Include a Decisional Components
An Extended Dependability Case to Share Responsibility Knowledge
Designing a Hybrid Recommendation System for TV Content
Incompleteness and Fragmentation: Possible Formal Cues to Cognitive Processes Behind Spoken Utterances