Fuzzy Sets and Expert Systems: Lecture #2 Content


Material Covered in Lecture #2


Recap of Lecture #1

Fuzzy Logic Theory: Basic Concepts

  1. Cardinality of a Fuzzy set
  2. Measure of fuzziness of a fuzzy sets (entropy)
  3. Numerical example

Fuzziness vs. Probability

  1. Interpretations and Differences
  2. Inference Mechanism: Modus Ponens vs.Conditioning
  3. Possibility Measure

Approximate Reasoning

  1. Fuzzy relations
  2. Fuzzy Composition
  3. Geometric and algebraic representation of Modus Ponens
  4. Implementational issues

  • PDF Files of Slides for Lectures 2 and 3

    • Author: Piero P. Bonissone E-Mail: bonissone@crd.ge.com

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