Fuzzy logic is a branch of machine intelligence that helps computers understand the variations that occur in the uncertain and vague world in which we exist. Fuzzy logic “manipulates” vague concepts such as “warm” or “going fast”, in such a manner that it helps design machines like air conditioners and speed control systems to move or switch from one set of control criteria to another.
Lecture 01: Introduction to Fuzzy Sets
30mLecture 02: Introduction to Fuzzy Sets (Contd.)
30mLecture 03: Introduction to Fuzzy Sets (Contd.)
30mLecture 04: Introduction to Fuzzy Sets (Contd.)
26mLecture 05: Introduction to Fuzzy Sets (Contd.)
33mLecture 06: Introduction to Fuzzy Sets (Contd.)
29mLecture 07: Applications of Fuzzy Sets
26mLecture 08: Applications of Fuzzy Sets (Contd.)
28mLecture 09: Applications of Fuzzy Sets (Contd.)
29mLecture 10: Applications of Fuzzy Sets (Contd.)
24mLecture 11: Applications of Fuzzy Sets (Contd.)
26mLecture 12 : Applications of Fuzzy Sets (Contd.)
23mLecture 13 : Applications of Fuzzy Sets (Contd.)
29mLecture 14: Applications of Fuzzy Sets (Contd.)
24mLecture 15: Applications of Fuzzy Sets (Contd.)
31mLecture 16: Applications of Fuzzy Sets (Contd.)
24mLectuer 17: Optimizationof Fuzzy Reasoning and Clustering Tool
30mLecture 18: Optimizationof Fuzzy Reasoning and Clustering Tool (Contd.)
29mLecture 19: Optimizationof Fuzzy Reasoning and Clustering Tool (Contd.)
34mLecture 20: Optimizationof Fuzzy Reasoning and Clustering
37mLecture 21: Some Examples of Neural Networks
32mLecture 22: Some Examples of Neural Networks (Contd.)
32mLecture 23: Some Examples of Neural Networks (Contd.)
32mLecture 24: Some Examples of Neural Networks (Contd.)
26mLecture 25: Some Examples of Neural Networks (Contd.)
36mLecture 26: Some Examples of Neural Networks (Contd.)
14mLecture 27: Some Examples of Neural Networks (Contd.)
26mLecture 28: Some Examples of Neural Networks (Contd.)
36mLecture 29: Some Examples of Neural Networks (Contd.)
19mLecture 30: Some Examples of Neural Networks (Contd.)
16mLecture 31: Optimal Designs of Neural Networks
32mLecture 32: Optimal Designs of Neural Networks (Contd.)
25mLecture 33: Neuro-Fuzzy System
29mLecture 34: Neuro-Fuzzy System (Contd.)
27mLecture 35: Neuro-Fuzzy System (Contd.)
32mLecture 36: Neuro-Fuzzy System (Contd.)
24mLecture 37: Concepts of Soft Computing and Expert Syste
33mLecture 38: Concepts of Soft Computing and Expert Systems (Contd.)
30mLecture 39: A Few Applications
36mLecture 40: A Few Applications (Contd.)
26mLecture 41: A Few Applications (Contd.)
34mLecture 42: A Few Applications (Contd.)
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