Statistical Analysis with Fuzzy Logic


Dr. Qais Yousef

Ph.D. in Computer Engineering/ Industrial Automation Systems and Swarm Intelligence

Mobile: +962-795037290



Course Details:

  • Overview  

This course is for researchers and model developers to enrich them with detailed knowledge that allow them to be able to work with Fuzzy models, deign them and analyze them to conduct statistical analysis in different fields, such as MIS, CIS, etc. Each student will be worked with individually to start producing a short complete project.  

  • Total Workshop Time  

6 Hours.

Workshop Sessions:

  • This comprehensive course will be covered over 2 sessions as detailed below:

1. What is Fuzzy Logic?

2. Membership Functions

3. Fuzzy Operators 

4. Fuzzy Inference System (FIS)

5. Structure of FIS

6. Fuzzy IF-THEN Rules

7. Types of FIS

8. Fuzzy Inference Processes

9. Determining Fuzzy Input

10. Apply Fuzzy Operator

11. Apply Implication Method

12. Aggregate All Outputs

13. Defuzzification


  • Complete project will be assigned for students in each session, (aside from the class-shared projects) to work on at home, and is required to submit it at the beginning of every. The submitted assignments will be discussed in the next session with each student individually.
  • Questions and discussions are highly encouraged during class.  


  • Each student MUST bring in a laptop with Windows OS installed on to every class session.  


Prepared by: ATIT Academy