Course Details
Subject {L-T-P / C} : MA5412 : Soft Computing { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Snehashish Chakraverty
Syllabus
Module 1 : |
Fuzzy Set Theory and Logic : Fuzzy sets, Membership function, Alpha cut, Fuzzy union and intersection, Interval and Interval computing, Fuzzy numbers, Fuzzy addition, subtraction, multiplication and division, Fuzzy relation, Fuzzy control, Interval and Fuzzy linear equations.
|
Course Objective
1 . |
Understanding about fuzzy/uncertainty modeling |
2 . |
Knowledge of Soft computing, AI and ML |
3 . |
Application problems with respect to fuzzy uncertainty, Classifications |
4 . |
Solving application problems by AI/ML methods |
Course Outcome
1 . |
1. Understanding the concept of Soft Computing,
|
Essential Reading
1 . |
H. J. Zimmermann, Fuzzy Set Theory and Its Applications, Springer (India) Pvt. Limited , 2006 |
2 . |
S. Chakraverty, Deepti Moyi Sahoo and Nisha Rani Mahato, Concepts of Soft Computing - Fuzzy and ANN with Programming, Springer Nature Singapore , 2019 |
Supplementary Reading
1 . |
Shigeo Abe, Support Vector Machines for Pattern Classification, Springer , 2010 |
2 . |
Jacek M. Zurada, Introduction to Artificial Neural Systems, West publishing company , 1992 |