University of Information Technology

Fuzzy Logic System

Course Description

Fuzzy logic system program presents some fundamental knowledge of fuzzy sets, fuzzy logic, fuzzy decision making and fuzzy control systems. The aim is to equip the students with some state-of-the-art fuzzy-logic technology and fuzzy system design methodologies, thereby better preparing them for the rapidly evolving high-tech information-based financial market and modern industry

Intended Learning Outcomes

Upon the successful completion of this course, students should be able to:

  • gain the main subject of fuzzy sets and methods of fuzzy logic.
  • recognize fuzzy logic membership function.
  • recognize fuzzy logic fuzzy inference systems.
  • make basic applications on Fuzzy logic membership function and fuzzy inference systems.

Text and References Books


  1. Fuzzy Logic with Engineering Applications, John Wiley & Son Ltd: Timothy J.Ross, Third Edition, 2010


  1. Introduction to Fuzzy Logic using MATLAB, S.N. Sivanandam, April 11, 2013.
  2. Introduction to Fuzzy Logic, Rajjan Shinghal, July 19,2013.

Assessment system

Evaluation Marks Percentage
Class Participation 10 Marks 10%
Tutorial 10 Marks 10%
Assignments 10 Marks 10%
Project 10 Marks 10%
Final Examination 60 Marks 60%