Fuzzy Set vs Crisp (Classical) Set
Course Synopsis
This course offers selected advanced level topics in mathematical sciences to cater to new and emerging trends in research. The thematic topic offered under this course in a particular year will depend on current interest. It is intended for advanced undergraduate students with the required prerequisites.
Note: The selected course for 2019 is fuzzy set theory.
What does student obtained upon completion?
Those are
- describe basic concepts of fuzzy set theory
- solve problems related to fuzzy set theory
- show detail written and oral arguments in establishing facts related to fuzzy set theory
- demonstrate appropriate techniques related to fuzzy set theory
Weekly Schedule and Plan
List of References
Main Reference:
- Hans-Jürgen Zimmermann, (1996). Fuzzy Set Theory—and Its Applications, Springer Netherlands.
- George Klir and Bo Yuan, (1995). Fuzzy Sets and Fuzzy Logic: Theory and Applications, Pearson.