{"id":114,"title":"Fuzzy Systems","credit_hour":"3","lecture_hour":"45","outcome":"<!DOCTYPE html>\r\n<html>\r\n<head>\r\n<\/head>\r\n<body>\r\n\r\n<\/body>\r\n<\/html>","description":"<!DOCTYPE html>\r\n<html>\r\n<head>\r\n<\/head>\r\n<body>\r\n<p>Basic concepts of Fuzzy set theory; Fuzzy numbers; Aggregation operations of Fuzzy sets; The theory of approximate reasoning; Introduction to Fuzzy logic control; Fuzzy System Models and Developments; Fuzzy logic controllers; Defuzzification methods; Linguistic descriptions and their analytical forms; The flexible structure of fuzzy systems; Practical Aspects of Neural Networks.<\/p>\r\n<\/body>\r\n<\/html>","books":"<!DOCTYPE html>\r\n<html>\r\n<head>\r\n<\/head>\r\n<body>\r\n\r\n<\/body>\r\n<\/html>","created_at":"2016-10-18 04:43:46","updated_at":"2017-01-29 16:16:02"} Details | Department of Computer Science and Engineering, IUB

CSC 423: Fuzzy Systems

Offered Under: B.Sc. in Computer Science (CSC)

Description

Basic concepts of Fuzzy set theory; Fuzzy numbers; Aggregation operations of Fuzzy sets; The theory of approximate reasoning; Introduction to Fuzzy logic control; Fuzzy System Models and Developments; Fuzzy logic controllers; Defuzzification methods; Linguistic descriptions and their analytical forms; The flexible structure of fuzzy systems; Practical Aspects of Neural Networks.

Prerequisites:

CSC 305 + Lab : Object-Oriented Programming

MAT 203 : Linear Algebra: Vectors and Matrices

MAT 212 : Probability & Statistics for Science and Engineering

Course Type	Major
Credit Hour	3
Lecture Hour	45

Expected Outcome(s):

Suggested Books:

Grading Policy:

Biweekly Quiz, One Midterm Exam, One Final Exam, Project

Letter Grade	Marks	Grade Point
A	90 - 100	4.00
A-	85 - 89	3.70
B+	80 - 84	3.30
B	75 - 79	3.00
B-	70 - 74	2.70
C+	65 - 69	2.30
C	60 - 64	2.00
C-	55 - 59	1.70
D+	50 - 54	1.30
D	45 - 49	1.00
F	00 - 44	0.00