Convex fuzzy set, subset of fuzzy set and cardinality- Lecture 03 By Prof S Chakraverty

Fuzzy Set Theory Lecture 03 By Prof S Chakraverty (NIT Rourkela)

Linguistic variables, fuzzy complement, union, intersection-Lecture 04 By Prof S Chakravety
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Linguistic variables, fuzzy complement, union, intersection-Lecture 04 By Prof S Chakravety

1. The Geometry of Linear Equations
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1. The Geometry of Linear Equations

Introduction to Fuzzy sets- Lecture 01 By Prof S Chakraverty
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Introduction to Fuzzy sets- Lecture 01 By Prof S Chakraverty

Terence Tao: Nobody Understands Why AI Actually Works
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Terence Tao: Nobody Understands Why AI Actually Works

Russell's Paradox - a simple explanation of a profound problem
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Russell's Paradox - a simple explanation of a profound problem

What Is Fuzzy Logic? | Fuzzy Logic, Part 1
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What Is Fuzzy Logic? | Fuzzy Logic, Part 1

Difference in fuzzy sets, Cartesian product, t-norm and t-conorm-Lecture 05 By Prof S Chakraverty
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Difference in fuzzy sets, Cartesian product, t-norm and t-conorm-Lecture 05 By Prof S Chakraverty

Membership function and normalized fuzzy set - Lecture 02 By Prof S Chakraverty (NIT Rourkela)
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Membership function and normalized fuzzy set - Lecture 02 By Prof S Chakraverty (NIT Rourkela)

Operations for type 2 fuzzy sets &  introduction to fuzzy relations-Lecture 07 By Prof S Chakraverty
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Operations for type 2 fuzzy sets & introduction to fuzzy relations-Lecture 07 By Prof S Chakraverty

If Prime Numbers Become Increasingly Rare, Then Why Do They Keep Showing Up In Pairs?
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If Prime Numbers Become Increasingly Rare, Then Why Do They Keep Showing Up In Pairs?

Gil Strang's Final 18.06 Linear Algebra Lecture
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Gil Strang's Final 18.06 Linear Algebra Lecture

Terence Tao Explains The Math Behind AI
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Terence Tao Explains The Math Behind AI

Property of max-min composition,fuzzy equivalence&similarity  methods- Lec 09 By Prof S Chakraverty
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Property of max-min composition,fuzzy equivalence&similarity methods- Lec 09 By Prof S Chakraverty

Approximation of TFN, Trapezoidal fuzzy & Bell shaped fuzzy numbers-Lec20 By Prof S Chakraverty
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Approximation of TFN, Trapezoidal fuzzy & Bell shaped fuzzy numbers-Lec20 By Prof S Chakraverty

Why This Is the Most Exciting Time to Be Human | Ken Ono, Axiom Math
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Why This Is the Most Exciting Time to Be Human | Ken Ono, Axiom Math

Type2 fuzzy set , Instutionistic fuzzy set & Extension principle - Lecture 06 By Prof S Chakraverty
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Type2 fuzzy set , Instutionistic fuzzy set & Extension principle - Lecture 06 By Prof S Chakraverty

PLC Troubleshooting 101.  Basic Steps to Diagnose and Fix Your Machine
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PLC Troubleshooting 101. Basic Steps to Diagnose and Fix Your Machine

Lecture 07: Applications of Fuzzy Sets
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Lecture 07: Applications of Fuzzy Sets

Fuzzy relation matrix, compositions, projections -Lecture 08 By Prof S Chakraverty
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Fuzzy relation matrix, compositions, projections -Lecture 08 By Prof S Chakraverty