NUCL57000 - Fuzzy Approaches In Engineering

Presentation of the mathematical fundamentals of fuzzy logic theory and a survey of engineering applications. Fuzzy sets; the extension principle; fuzzy numbers; fuzzy relations and composition; linguistic descriptions; implication operators and fuzzy algorithms are formally developed. Applications emphasize the engineering utilization of approximate reasoning to diagnostics, control, safety, and decision-making problems.

Credit Hours: 3

Instructor(s): Lefteri Tsoukalas

Phone: (765) 496-9696

Email: tsoukala@purdue.edu


Topics Covered:

  1. Intellectual Framework
  2. Basics
  3. Fuzzy Models and Formal Structures
  4. Fuzzy Control
  5. General Principles of Rule-Based Systems Development and Limitations
  6. Advanced Topics

Applied / Theory:

50 / 50

Homework:

A number of HW sets (4-6) will be given during the semester. These are typically problems from the book and should help with developing some computing skills with MATLAB as well

Projects:

Develop a project (preferably as a group effort) to (ideally) the level of a research publication. It involves writing a report and doing a class presentation

Textbooks:

Tsoukalas, L.H., Uhrig, R.E., Fuzzy and Neural Approaches in Engineering, Wiley, New York, 1997.
Hines, J.W., Matlab Supplement to Fuzzy and Neural Approaches in Engineering, Wiley, New York, 1997.