Decision making is a multi-faceted and challenging, yet important task. A decision maker normally has to take into consideration a number of alternatives, which often conflict with one another, before reaching a good decision. To cope with the challenges of decision making, decision support systems have been developed to provide assistance in human decision making processes. The key to decision support systems is to collect information/data, analyse the information/data collected, and subsequently make quality and informed decisions. In this aspect, intelligent reasoning and learning techniques have emerged as a powerful approach to solving real-world decision making problems. The main aim of this research handbook is to present a small fraction of techniques stemmed from artificial intelligence, as well as other complementary methodologies, that are useful for developing intelligent decision support systems.



Front Matter....Pages 1-1
Advances in Intelligent Decision Making....Pages 3-28
IDSSE-M: Intelligent Decision Support Systems Engineering Methodology....Pages 29-53
Shape Design of Products Based on a Decision Support System....Pages 55-84
Enhancing Decision Support System with Neural Fuzzy Model and Simple Model Visualizations....Pages 85-116
Computational Agents in Complex Decision Support Systems....Pages 117-142
A Multi-criteria Decision-Support Approach to Sustainable Rural Energy in Developing Countries....Pages 143-162
A Decision Making System Based on Complementary Learning....Pages 163-179
A Forecasting Support System Based on Exponential Smoothing....Pages 181-204
Reinforcement Based U-Tree: A Novel Approach for Solving POMDP....Pages 205-232
On the Use of Fuzzy Inference Systems for Assessment and Decision Making Problems....Pages 233-246
Front Matter....Pages 247-247
Decision Support Systems in Transportation....Pages 249-294
Decision Support Systems for the Food Industry....Pages 295-315
Building a Decision Support System for Urban Design Based on the Creative City Concept....Pages 317-346
Fuzzy Prices in Combinatorial Auction....Pages 347-367
Application of Artificial Neural Network to Fire Safety Engineering....Pages 369-395
Decision-Making for the Optimal Strategy of Population Agglomeration in Urban Planning with Path-Converged Design....Pages 397-425
A Cognitive Interpretation of Thermographic Images Using Novel Fuzzy Learning Semantic Memories....Pages 427-452
Adaptive Fuzzy Inference Neural Network System for EEG Signal Classification....Pages 453-471
A Systematic Approach to the Design of a Case-Based Reasoning System for Attention-Deficit Hyperactivity Disorder....Pages 473-496
A NeuroCognitive Approach to Decision Making for the Reconstruction of the Metabolic Insulin Profile of a Healthy Person....Pages 497-532
Erratum: Fuzzy Prices in Combinatorial Auction....Pages E1-E1




Handbook on Decision Making  Volume 1: Techniques and Applications：






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