ABOUT THE COURSE:This course will help to understand Fuzzy logics, application of Genetic algorithm. Concepts of multi-optimizations problems will also be provided to solve many problems. Knowledge of Rough set theory will help to handle big data. Understanding of hybrid soft computing techniques will help to solve real world problems.INTENDED AUDIENCE: Students, Researchers, Professionals.INDUSTRY SUPPORT: Data analytic Companies
Overview
Syllabus
Week 1: Fuzzy sets, Membership functions, Basic operationsWeek 2:Fuzzy relations, Defuzzification,Week 3:Fuzzy inference, Fuzzy rule based systemWeek 4:Working principle of Genetic algorithm, Population set, Binary encoding and decoding.Week 5:Selection (roulette wheel selection and other methods), Cross over techniques, Mutation, Week 6:Problems of Genetic Algorithms. Week 7:Multi objective GAs, Concepts on non-domination,Week 8:Crowding distance operator, Ranking, and applications.Week 9:Rough Sets, Lower and upper approximations, Accuracy of ApproximationsWeek 10:Discernibility matrix, Discernibility Function , Reduct and coreWeek 11:Rule Generations and application of rough set theory.Week 12:Hybridization of soft computing tools like fuzzy-rough.
Taught by
Prof. Santimoy Kundu
