Useful handouts for this course include:

• Week One - Fuzzy Sets and Logic
  • paper writing handout
  • active reading handout
  • knowledge representation handout
  • logic handout
  • Zadeh's original 1965 paper
  • Zadeh's 1998 soft computing paper
  • fuzzy logic tutorial 1
  • fuzzy logic tutorial 2
  • fuzzy logic tutorial 3
  • introduction to soft computing
  • intro to soft computing - tools
  • ten claims about fuzzy logic
  • soft computing heuristics

• Week Two and Three - Rough Sets
  • Pawlak's original 1982 article on rough sets
  • Rough sets: Some extensions
  • Pawlak's CACM rough sets
  • Pawlak's rough sets approach to decision support
  • Pawlak's probablistic vs deterministic rough sets
  • Pawlak's rough sets theory and applications
  • Rough Sets In Data Analysis: Foundations and Applications
  • Towards Scalable Algorithms for Discovering Rough Set Reducts
  • reduct construction algorithms
  • wikipedia rough sets
  • A General Definition of an Attribute Reduct
  • Attribute reduction in decision-theoretic rough set models
  • Criteria for choosing a rough set model
  • rough sets hybrid intelligent system for survival analysis
  • Rough Set software links
  • Useful Feature Subsets and Rough Set Reducts
  • Rough set methods in feature selection and recognition
  • The Rough Set Exploration System
  • Evolution of the Rough Set Exploration System
  • The New Rough Set Exploration System
  • RSES and RSESlib
  • Rossetta technical reference manual
  • Rossetta lib
  • The Rough Set ROSE System
  • Rough Set Based Model to Rank Association Rules
  • Empirical Analysis on the Geriatric Care Data Set
  • Mereological Reasoning in Rough Set Theory

• Week Three and Four - Neural Networks
  • neural networks
  • What is a Neural Network
  • How Neural Networks Learn from Experience
  • |FAQ about Neural Networks
  • Probabilistic Neural Networks
  • Ensembling Neural Networks: Many Could Be Better Than All
  • What's Hidden in the Hidden Layers

• Evolutionary Computing
  • Evolutionary Computing Bibliography

• Genetic Computing
  • Genetic Programming: An Introduction and Tutorial
  • Genetic Programming
  • Genetic Programming An Introductory Tutorial
  • Genetic Algorithms
  • Genetic algorithms with multi-parent recombination
  • Adaptive Probabilities of Crossover and Mutation in Genetic Algorithms
  • A Genetic Algorithm for Constructing Compact Binary Decision Trees

• Granular Computing
  • Granular Computing and Rough Sets
  • The Art of Granular Computing
  • Granular Computing: Past, Present and Future
  • Granular Computing for Data Mining
  • Attribute Reduction Based on Granular Computing
  • Information granules and entropy theory in information systems
  • Theoretical Study of Granular Computing