Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning

ISBN-13: 9780443161476 / Angielski

Tofigh Allahviranloo; Witold Pedrycz; Amir Seyyedabbasi

Spis treści

Section 1: Decision Making: New Developments
1. Neural networks
2. Artificial intelligent algorithms, motivation and terminology
3. Decision processes
4. Learning theory

Section 2: Metaheuristic Algorithms
5. Nature-inspired algorithms
6. Physic-based algorithms
7. evolution-based algorithms
8. swarm-based algorithms
9. Multi-objective algorithms
10. Unconstrained / constrained nonlinear optimization
11. Evolutionary Computing

Section 3: Optimization Problems
12. Mathematical Programming
13. Discrete and Combinatorial Optimization
14. Optimization and Data Analysis
15. Applied optimization problems
16. Engineering problems

Section 4: Machine Learning
17. Deep Learning
18. (Artificial) Neural Networks
19. Reinforcement Learning Algorithms
20. Classification and clustering

Section 5: Soft Computation
21. Uncertainty theory
22. Fuzzy sets
23. Computation with words
24. Soft modelling
25. Uncertain optimization models
26. Chaos theory and chaotic systems

Section 6: Data Analysis
27. Data mining and knowledge discovery
28. Categories of techniques of data analysis
29. Numerical analysis
30. Risk analysis

Section 7: Fuzzy Decision System
31. Fuzzy Control
32. Approximate Reasoning
33. Effectiveness in Fuzzy Logics
34. Neuro-fuzzy Systems
35. Fuzzy rule-based systems