At the end of this course, the students; 1) Should describe the stochastical processes and do the analyses depended on probabilistic processes o the basic statistical analyses and interpret the results.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
There is no recommended optional programme component for this course.
COURSE DEFINITION
Fuzzy logic, fuzzy sets, fuzzy arithmetic, fuzzy numbers, possibility theory and membership functions, fuzzy decision making, fuzzy mathematical modeling and linear programming. Fuzzy theory and fuzzy logic in statistics and decision methods
COURSE CONTENTS
WEEK
TOPICS
1st Week
Differences between fuzzy logic and clasical logic
2nd Week
Fuzzy sets
3rd Week
Fuzzy arithmetic
4th Week
Membership functions
5th Week
Membership functions
6th Week
Membership functions
7th Week
Fuzzy logic and decision processes
8th Week
Fuzzy logic and decision processes
9th Week
MID TERM
10th Week
Statistical analyses with fuzzy logic
11th Week
Statistical analyses with fuzzy logic
12th Week
Statistical analyses with fuzzy logic
13th Week
Fuzzy logic applications
14th Week
Project Presentations
RECOMENDED OR REQUIRED READING
Dubois, D., Prade, H., Fuzzy Sets And Systems Theory and Applications, Academic Pres, INC. 1980