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Fuzzy Sets, Logic and Systems & Applications

Engineering Academy

Engineering Academy

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Preview this course

Fuzzy Sets, Logic and Systems & Applications

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    Engineering Academy

    Engineering Academy

    Learn Without Limits: Free Engineering Courses

  • Course type

    Watch to learn anytime

  • Course duration

    752 Min

  • Course start date & time

    Access anytime

  • Language

    English

Why enroll

Participants should join this course to understand how fuzzy logic handles uncertainty and real-world complexity better than traditional logic.It helps build a strong foundation for computational intelligence, AI, and intelligent control systems.The course is suitable for beginners who want practical and industry-relevant knowledge.

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Course content

The course is readily available, allowing learners to start and complete it at their own pace.

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Fuzzy Sets, Logic and Systems & Applications

25 Lectures

752 min

  • Lesson icon

    Fuzzy Sets, Logic and Systems & Applications- Course Overview

    Preview icon

    Preview

    3 min

  • Lesson icon

    Introduction: Fuzzy Sets, Logic and Systems & Applications

    29 min

  • Lesson icon

    Introduction: Real Life Applications of Fuzzy Systems

    32 min

  • Lesson icon

    Fuzzy Sets and Fuzzy Logic Toolbox in MATLAB - I

    29 min

  • Lesson icon

    Fuzzy Sets and Fuzzy Logic Toolbox in MATLAB - II

    25 min

  • Lesson icon

    Membership Functions

    30 min

  • Lesson icon

    Membership Functions- ll

    39 min

  • Lesson icon

    Nomenclatures Used In Fuzzy Set Theory

    36 min

  • Lesson icon

    Nomenclatures Used In Fuzzy Set Theory -II

    31 min

  • Lesson icon

    Nomenclatures Used In Fuzzy Set Theory-III

    33 min

  • Lesson icon

    Set Theoretic Operation On Fuzzy Sets

    30 min

  • Lesson icon

    Set Theoretic Operation on Fuzzy Sets- II

    20 min

  • Lesson icon

    Properties of Fuzzy Sets - 1

    28 min

  • Lesson icon

    Properties of Fuzzy Sets - 2

    30 min

  • Lesson icon

    Properties of Fuzzy Sets - 3

    26 min

  • Lesson icon

    Properties of Fuzzy Sets - 4

    34 min

  • Lesson icon

    Properties of Fuzzy Sets

    35 min

  • Lesson icon

    Distance between Fuzzy Sets

    33 min

  • Lesson icon

    Distance between Fuzzy Sets - 2

    32 min

  • Lesson icon

    Distance between Fuzzy Sets - 3

    38 min

  • Lesson icon

    Arithmetic Operations on Fuzzy Numbers

    28 min

  • Lesson icon

    Arithmetic Operations on Fuzzy Numbers-II

    33 min

  • Lesson icon

    Arithmetic Operations on Fuzzy Numbers - 2

    35 min

  • Lesson icon

    Compement of Fuzzy Sets

    34 min

  • Lesson icon

    T-norm Operators

    29 min

Course details

This course is designed to provide a strong foundation in the fundamental concepts of fuzzy logic and its practical applications. It introduces the motivation behind fuzzy logic and explains how it differs from classical Boolean logic. Students will learn about fuzzy sets, membership functions, and fuzzy relations in a simple and intuitive manner. The course covers fuzzy inference systems and the process of fuzzy decision-making. Learners will understand how uncertainty and imprecision are handled in real-world problems using fuzzy logic. The course also introduces common fuzzy reasoning techniques and rule-based systems. Practical examples are used to demonstrate applications of fuzzy logic in control systems, decision support, and intelligent systems. The content is structured to be accessible to students from diverse backgrounds. The course prepares learners for further studies in computational intelligence. By the end, students will have a clear understanding of how fuzzy logic is applied in modern engineering and technology domains.

Source: IIT Kanpur-NPTEL[Youtube Channel]

Course suitable for

  • Automotive
  • Electrical
  • Engineering & Design
  • Project Management
  • Research & Developmnet

Key topics covered

  • Fuzzy Sets, Logic and Systems & Applications – Course Overview

  • Introduction: Fuzzy Sets, Logic and Systems & Applications

  • Introduction: Real-Life Applications of Fuzzy Systems

  • Fuzzy Sets and Fuzzy Logic Toolbox in MATLAB – I

  • Fuzzy Sets and Fuzzy Logic Toolbox in MATLAB – II

  • Membership Functions

  • Membership Functions – II

  • Nomenclatures Used in Fuzzy Set Theory – I

  • Nomenclatures Used in Fuzzy Set Theory – II

  • Nomenclatures Used in Fuzzy Set Theory – III

  • Set Theoretic Operation on Fuzzy Sets – I

  • Set Theoretic Operation on Fuzzy Sets – II

  • Properties of Fuzzy Sets – I

  • Properties of Fuzzy Sets – II

  • Properties of Fuzzy Sets – III

  • Properties of Fuzzy Sets – IV

  • Properties of Fuzzy Sets (Summary)

  • Distance between Fuzzy Sets – I

  • Distance between Fuzzy Sets – II

  • Distance between Fuzzy Sets – III

  • Arithmetic Operations on Fuzzy Numbers – I

  • Arithmetic Operations on Fuzzy Numbers – II

  • Arithmetic Operations on Fuzzy Numbers – III

  • Complement of Fuzzy Sets

  • T-norm Operators

Why people choose EveryEng

Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities—all in a flexible and supportive environment.

Engineering Academy

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Learn Without Limits: Free Engineering Courses

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