• Post category:StudyBullet-4
  • Reading time:4 mins read


From Theory to Practical

What you will learn

At the end of the course the students should be able to Understand the concepts and appreciate the applications of Fuzzy Logic

Get yourself Trained in less than 2 hours

You will get to know how fuzzy Logic is implemented in real world

A real time case study to illustrate Fuzzy logic in action

Description

All traditional logic habitually assumes that precise symbols are being employed. It is therefore not applicable to this terrestrial life but only to an imagined celestial existence. [Bertrand Russell, 1923 British philosopher, and Nobel Laureate].

The quotes above, all of them legendary, have a common thread. That thread represents the relationship between precision and uncertainty. The more uncertainty in a problem, the less precise we can be in our understanding of that problem. It is ironic that the oldest quote, above, is due to the philosopher who is credited with the establishment of Western logic – a binary logic that only admits the opposites of true and false, a logic which does not admit degrees of truth in between these two extremes. In other words, Aristotelian logic does not admit imprecision in truth. However, Aristotle’s quote is so appropriate today; it is a quote that admits uncertainty.


Get Instant Notification of New Courses on our Telegram channel.


This course is specially designed for beginners in Soft computing – Fuzzy logic. It will cover the basics of fuzzy set theory and presents different problems where one can apply this concept. In this course, you will learn how to implement fuzzy logic for problems involving uncertainties and vagueness. This course will act as a foundation course for the researchers working in different areas of science and engineering.

English
language

Content

Basics of Fuzzy Logic

Inspiration
Fuzzy Logic- Motivation

Fuzzy Representation and Membership Functions

Fuzzy representation- Mapping Uncertainties
Membership functions- Visualization

Fuzzy Rule base and Inferencing

Fuzzy Rules
Fuzzy Inference:- Combining Fuzzy Rules

Defuzzification to Crisp Values

Defuzzification