The course is designed to give a solid grounding of fundamental concepts of fuzzy logic and its applications. The level of the course is chosen to be such that all students aspiring to be a part of computational intelligence directly or indirectly in near future should get these concepts.INTENDED AUDIENCE : UG, PG Students, industry professionals, researchers etc.PREREQUISITES : NilINDUSTRY SUPPORT : Nil
Fuzzy Sets, Logic and Systems & Applications
Indian Institute of Technology Kanpur and NPTEL via Swayam
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22
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Overview
Syllabus
Week 1: Introduction and Fuzzy Sets TheoryWeek 2: Membership FunctionsWeek 3: Set Theoretic OperationsWeek 4: Fuzzy ArithmeticWeek 5: Fuzzy RelationsWeek 6: Fuzzy Inference Systems IWeek 7: Fuzzy Inference Systems IIWeek 8: Wang and Mendel ModelWeek 9: TSK ModelWeek 10: Fuzzifiers and DefuzzifiersWeek 11: ANFIS ArchitectureWeek 12: Fuzzy Systems and Machine Learning
Taught by
Prof. Nishchal Kumar Verma