Fuzzy Logic Ideas Can Help in Explaining Kahneman and Tversky's Empirical Decision Weights.
Joe LorkowskiVladik KreinovichPublished in: WCSC (2014)
Keyphrases
- fuzzy logic
- decision making
- fuzzy membership functions
- artificial intelligence
- computational intelligence
- fuzzy sets
- neural network
- decision makers
- decision process
- linear combination
- weighted sum
- fuzzy rules
- soft computing
- expert systems
- decision rules
- decision model
- membership functions
- machine learning
- rule base
- influence diagrams
- weighted average
- decision problems
- empirical data
- multi criteria
- group decision
- rough sets
- control system
- information systems
- fuzzy model
- real time
- information theoretic
- fuzzy inference
- fuzzy reasoning
- knowledge integration
- intelligent control
- pattern recognition
- decision processes
- neural networks and genetic algorithms
- generating explanations