# Fuzzy Sets, Logic and Systems & Applications

- Institution: IIT Kanpur
- Department: Electrical Engineering
- Teacher: Prof. Nishchal Kumar Verma
- Level: Undergraduate
- Language: English
- Subjects: Engineering
- Source: [NPTEL](https://nptel.ac.in/courses/108104157)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/108104157)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Lecture 1:Introduction: Fuzzy Sets, Logic and Systems & Applications](https://invisiblenetwork.ai/learn/nptel/108104157/b392f46f5477) (Video)
2. [Lecture 2: Introduction - Real Life Applications of Fuzzy Systems](https://invisiblenetwork.ai/learn/nptel/108104157/7a313d5fd18b) (Video)
3. [Lecture 3: Fuzzy Sets and Fuzzy Logic Toolbox in MATLAB - I](https://invisiblenetwork.ai/learn/nptel/108104157/de48a1e9df54) (Video)
4. [Lecture 4: Fuzzy Sets and Fuzzy Logic Toolbox in MATLAB - II](https://invisiblenetwork.ai/learn/nptel/108104157/d29c719b864a) (Video)
5. [Lecture 5: Membership Functions](https://invisiblenetwork.ai/learn/nptel/108104157/d3886183cda8) (Video)
6. [Lecture 6: Membership Functions-II](https://invisiblenetwork.ai/learn/nptel/108104157/3b3b14634e46) (Video)
7. [Lecture 7: Nomenclatures used in Fuzzy Set Theory-I](https://invisiblenetwork.ai/learn/nptel/108104157/ef8839d55709) (Video)
8. [Lecture 8: Nomenclatures used in Fuzzy Set Theory-II](https://invisiblenetwork.ai/learn/nptel/108104157/a5fc6b875183) (Video)
9. [Lecture 9: Nomenclatures used in Fuzzy Set Theory-III](https://invisiblenetwork.ai/learn/nptel/108104157/a2f49d831cd6) (Video)
10. [Lecture 10: Set Theoretic Operations on Fuzzy Sets-I](https://invisiblenetwork.ai/learn/nptel/108104157/a7b58c85aecb) (Video)
11. [Lecture 11: Set Theoretic Operations on Fuzzy Sets-II](https://invisiblenetwork.ai/learn/nptel/108104157/9698abfcac13) (Video)
12. [Lecture 12: Properties of Fuzzy Sets-I](https://invisiblenetwork.ai/learn/nptel/108104157/313276841f94) (Video)
13. [Lecture 13: Properties of Fuzzy Sets-II](https://invisiblenetwork.ai/learn/nptel/108104157/c115a82c1409) (Video)
14. [Lecture 14: Properties of Fuzzy Sets-III](https://invisiblenetwork.ai/learn/nptel/108104157/37d4b63fbc98) (Video)
15. [Lecture 15: Properties of Fuzzy Sets-IV](https://invisiblenetwork.ai/learn/nptel/108104157/22b635bbc0fe) (Video)
16. [Lecture 16: Properties of Fuzzy Sets-V](https://invisiblenetwork.ai/learn/nptel/108104157/334d88f6b50f) (Video)
17. [Lecture 17: Distance between Fuzzy Sets-I](https://invisiblenetwork.ai/learn/nptel/108104157/f1a7d3f77ef5) (Video)
18. [Lecture 18: Distance between Fuzzy Sets-II](https://invisiblenetwork.ai/learn/nptel/108104157/c4808109750f) (Video)
19. [Lecture 19: Distance between Fuzzy Sets-III](https://invisiblenetwork.ai/learn/nptel/108104157/2a0fb4816cde) (Video)
20. [Lecture 20: Arithmetic Operations on Fuzzy Numbers-I](https://invisiblenetwork.ai/learn/nptel/108104157/1303cbfea2d2) (Video)
21. [Lecture 21: Arithmetic Operations on Fuzzy Numbers-II](https://invisiblenetwork.ai/learn/nptel/108104157/dbb6f2425141) (Video)
22. [Lecture 22: Arithmetic Operations on Fuzzy Numbers-III](https://invisiblenetwork.ai/learn/nptel/108104157/d3aaad045a5f) (Video)
23. [Lecture 23: Complement of Fuzzy Sets](https://invisiblenetwork.ai/learn/nptel/108104157/b1a182586a3c) (Video)
24. [Lecture 24: T-norm Operators](https://invisiblenetwork.ai/learn/nptel/108104157/f979dded29d9) (Video)
25. [Lecture 25: S-norm Operators](https://invisiblenetwork.ai/learn/nptel/108104157/73f92df79f61) (Video)
26. [Lecture 26: Parameterized T-Norm Operators](https://invisiblenetwork.ai/learn/nptel/108104157/82f3f40b3504) (Video)
27. [Lecture 27: Parameterized S-Norm Operators](https://invisiblenetwork.ai/learn/nptel/108104157/1a8f0a90ad19) (Video)
28. [Lecture 28: Fuzzy Relation-I](https://invisiblenetwork.ai/learn/nptel/108104157/597fa4805190) (Video)
29. [Lecture 29: Fuzzy Relation-II](https://invisiblenetwork.ai/learn/nptel/108104157/43e9d763d3ac) (Video)
30. [Lecture 30: Operations on Crisp and Fuzzy Relations](https://invisiblenetwork.ai/learn/nptel/108104157/121db6bb85b0) (Video)
31. [Lecture 31: Projection of Fuzzy Relation Set](https://invisiblenetwork.ai/learn/nptel/108104157/15da9167872d) (Video)
32. [Lecture 32: Cylindrical Extension of Fuzzy Set](https://invisiblenetwork.ai/learn/nptel/108104157/00bc048a4370) (Video)
33. [Lecture 33: Properties of Fuzzy Relation-I](https://invisiblenetwork.ai/learn/nptel/108104157/34f0c57df2a8) (Video)
34. [Lecture 34: Properties of Fuzzy Relation-II](https://invisiblenetwork.ai/learn/nptel/108104157/482c22080368) (Video)
35. [Lecture 35: Extension Principle](https://invisiblenetwork.ai/learn/nptel/108104157/9b037e419998) (Video)
36. [Lecture 36: Composition of Fuzzy Relations](https://invisiblenetwork.ai/learn/nptel/108104157/8cb94bb2a060) (Video)
37. [Lecture 37: Properties of Composition of Fuzzy Relations](https://invisiblenetwork.ai/learn/nptel/108104157/d2c7f21afe79) (Video)
38. [Lecture 38: Fuzzy Tolerance and Equivalence Relations-I](https://invisiblenetwork.ai/learn/nptel/108104157/ec0ff93c8496) (Video)
39. [Lecture 39: Fuzzy Tolerance and Equivalence Relations-II](https://invisiblenetwork.ai/learn/nptel/108104157/2593c8bb7d9a) (Video)
40. [Lecture 40: Fuzzy Tolerance and Equivalence Relations-III](https://invisiblenetwork.ai/learn/nptel/108104157/4ffa623acdcf) (Video)
41. [Lecture 41: Linguistic Hedges](https://invisiblenetwork.ai/learn/nptel/108104157/ae7a58d66b5a) (Video)
42. [Lecture 42: Linguistic Hedges and Negation/ Complement and Connectives](https://invisiblenetwork.ai/learn/nptel/108104157/4a4cda7fe060) (Video)
43. [Lecture 43: Concentration and Dilation & Composite Linguistic Term and Some Examples](https://invisiblenetwork.ai/learn/nptel/108104157/2cf4a40c4138) (Video)
44. [Lecture 44: Dilation and Composite Linguistic Term and Some Examples](https://invisiblenetwork.ai/learn/nptel/108104157/82e713d5f67e) (Video)
45. [Lecture 45: Some Examples on Composite Linguistic Terms](https://invisiblenetwork.ai/learn/nptel/108104157/d51059d021c8) (Video)
46. [Lecture 46: Contrast Intensification of Fuzzy Sets](https://invisiblenetwork.ai/learn/nptel/108104157/90ce0eef31f5) (Video)
47. [Lecture 47: Orthogonality of Fuzzy Sets](https://invisiblenetwork.ai/learn/nptel/108104157/ee3ca8ae7f93) (Video)
48. [Lecture 48: Fuzzy Rules and Fuzzy Reasoning-I](https://invisiblenetwork.ai/learn/nptel/108104157/7955b53fe1bf) (Video)
49. [Lecture 49: Fuzzy Rules and Fuzzy Reasoning-II](https://invisiblenetwork.ai/learn/nptel/108104157/d607236303f1) (Video)
50. [Lecture 50: Fuzzy Inference System](https://invisiblenetwork.ai/learn/nptel/108104157/1898e6297e4d) (Video)
51. [Mamdani Fuzzy Model-I](https://invisiblenetwork.ai/learn/nptel/108104157/386274729fb2) (Video)
52. [Mamdani Fuzzy Model-II](https://invisiblenetwork.ai/learn/nptel/108104157/f334e259165a) (Video)
53. [Mamdani Fuzzy Model-III](https://invisiblenetwork.ai/learn/nptel/108104157/2f0e2f3da0a2) (Video)
54. [Example on Mamdani Fuzzy Model for Single Antecedent with Three Rules](https://invisiblenetwork.ai/learn/nptel/108104157/58427420f4b7) (Video)
55. [Example on Mamdani Fuzzy Model for Two Antecedents with Four Rules](https://invisiblenetwork.ai/learn/nptel/108104157/e0da054697bd) (Video)
56. [Lecture 56: Larsen Fuzzy Model-I](https://invisiblenetwork.ai/learn/nptel/108104157/f0a4fb2e46c2) (Video)
57. [Lecture 57: Larsen Fuzzy Model-II](https://invisiblenetwork.ai/learn/nptel/108104157/dfae22054629) (Video)
58. [Lecture 58: Larsen Fuzzy Model-III](https://invisiblenetwork.ai/learn/nptel/108104157/6264c1f05956) (Video)
59. [Lecture 59: Tsukamoto Fuzzy Model](https://invisiblenetwork.ai/learn/nptel/108104157/32170a2b78be) (Video)
60. [Lecture 60: TSK Fuzzy Model](https://invisiblenetwork.ai/learn/nptel/108104157/f41780df50f8) (Video)