Applied Decision Support with Soft Computing

Soft computing has provided sophisticated methodologies for the development of intelligent decision support systems. Fast advances in soft computing technologies, such as fuzzy logic and systems, artificial neural networks and evolutionary computation, have made available powerful problem representation and modelling paradigms, and learning and optimisation mechanisms for addressing modern decision making issues. This book provides a comprehensive coverage of up-to-date conceptual frameworks in broadly perceived decision support systems and successful applications. Different from other existing books, this volume predominately focuses on applied decision support with soft computing. Areas covered include planning, management finance and administration in both the private and public sectors.

Au sommaire

• Part I: General Issues
  • Modeling Knowledge: Model-based Decision Support and Soft Computations
  • Benefits of Decision Support Using Soft Computing Evolving Connectionist-based Decision Support Systems
  • An Agent-based Soft Computing Society with Application Applications in Financial Investment Planning
  • A Rough Sets/Neoral Networks Approach to Knowledge Discovery for the Development of Decision Support Systems
• Part II: Applications and Implementations
  • Decision Support Systems in Healthcare: Emerging Trends and Success Factors
  • A View of Public and Private Sectors for Taiwan's EOT Project Financing Using Fuzzy Multi-Criteria Methods
  • Relational Structures for the Analysis of Decision Information in an Electronic Market
  • A Fuzzy Evaluation Model: A Case for Intermodal Terminals in Europe
  • Application ofKemeny's Median for Group Decision Support
  • An Internet-based Group Decision and Consensus Reaching Support System
  • Limpio: A DSS for the Urban Waste Collection Problem
  • A Decision Support System for Air Quality Control Based on Soft Computing Methods P.
  • Multicriteria Genetic Tuning for the Optimization and Control of HV'ACSystems
  • Intelligent Information Systems for Crime Analysis
  • Application of Fuzzy Decision Trees to Reservoir Recognition
  • Introducing SACRA: A Decision Support System for the Construction of Cattle Diets
  • Prediction ofParthenium Weed Dispersal Using Fuzzy Logic on GIS Spatial Image