Non-classical logic | Logic in computer science | Fuzzy logic | Probability interpretations
Fuzzy logic is a form of many-valued logic in which the truth value of variables may be any real number between 0 and 1. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1. The term fuzzy logic was introduced with the 1965 proposal of fuzzy set theory by Iranian Azerbaijani mathematician Lotfi Zadeh. Fuzzy logic had, however, been studied since the 1920s, as infinite-valued logic—notably by Łukasiewicz and Tarski. Fuzzy logic is based on the observation that people make decisions based on imprecise and non-numerical information. Fuzzy models or sets are mathematical means of representing vagueness and imprecise information (hence the term fuzzy). These models have the capability of recognising, representing, manipulating, interpreting, and using data and information that are vague and lack certainty. Fuzzy logic has been applied to many fields, from control theory to artificial intelligence. (Wikipedia).
What Is Fuzzy Logic? | Fuzzy Logic, Part 1
This video introduces fuzzy logic and explains how you can use it to design a fuzzy inference system (FIS), which is a powerful way to use human experience to design complex systems. Designing a FIS does not require a model, so it works well for complex systems with underlying mechanisms t
From playlist Fuzzy Logic
Fuzzy Logic Systems - Part 1: Introduction
This video is about Fuzzy Logic Systems - Part 1: Introduction
From playlist Fuzzy Logic
Introduction to Fuzzy Logic, Fuzzy Logic System, Fuzzy Logic Controller
This video is about the introduction of Fuzzy Logic System which is also referred as Fuzzy Inference System. The basic concept of fuzzy sets and the working principle of a Fuzzy Logic System (Fuzzy Inference System) will be described. A fuzzy controller implemented by a Fuzzy Logic System
From playlist Fuzzy Logic
Fuzzy Logic Examples | Fuzzy Logic Part 3
Watch this fuzzy logic example of a fuzzy inference system that can balance a pole on a cart. You can design a fuzzy logic controller using just experience and intuition about the system—no mathematical models necessary. Fuzzy Logic Toolbox: https://bit.ly/3kypWT4?s_eid=PSM_15028 -------
From playlist Fuzzy Logic
Fuzzy Logic Controller Tuning | Fuzzy Logic, Part 4
Cover the basics of data-driven approaches to fuzzy logic controller tuning and fuzzy inference systems. See how to tune fuzzy inference parameters to find optimal solutions. Learn how optimization algorithms, like genetic algorithms and pattern search, can efficiently tune the parameters
From playlist Fuzzy Logic
Fuzzy Inference System Walkthrough | Fuzzy Logic, Part 2
This video walks step-by-step through a fuzzy inference system. Learn concepts like membership function shapes, fuzzy operators, multiple-input inference systems, and rule firing strength. Fuzzy Logic Toolbox: https://bit.ly/38xNy7E?s_eid=PSM_15028 ---------------------------------------
From playlist Fuzzy Logic
Fuzzy Logic Systems - Part 2: Fuzzy Inference System
This video is about Fuzzy Logic Systems - Part 2: Fuzzy Inference System
From playlist Fuzzy Logic
Fuzzy Logic Systems - Part 4: Knowledge Based and Fuzzy Inference Engine
This video is about Fuzzy Logic Systems - Part 4: Knowledge Based and Fuzzy Inference Engine
From playlist Fuzzy Logic
How to create a fuzzy inference system
Learn how to graphically design and simulate fuzzy inference systems using the fuzzy logic designer app. The video demonstrates the steps to create a fuzzy logic to estimate the tip percentage for a waiter based on the quality of food and service. - Build fuzzy inference systems and fuzz
From playlist “How To” with MATLAB and Simulink
Interval Type-2 (IT2) Fuzzy System and its Applications
Abstract: This talk will be delivered in two parts while the first part is a brief introduction of fuzzy logic systems from the control point of view while the second part is about the fuzzy-logic related applications. In the first part, the fuzzy logic system will be introduced and its fu
From playlist Fuzzy Logic
Getting Started with Fuzzy Logic Toolbox (Part 1)
Use Fuzzy Logic Toolbox™ to design fuzzy logic systems. Get a Free MATLAB Trial: https://goo.gl/C2Y9A5 Ready to Buy: https://goo.gl/vsIeA5 Learn more about Fuzzy Logic Toolbox: http://goo.gl/005y5R Learn more about MATLAB: http://goo.gl/YKadxi
From playlist Control System Design and Analysis
23C3: A Natural Language Database Interface using Fuzzy Semantics
Speaker: Richard Bergmair We give a thorough exposition of our natural language database interface that produces result sets ranked according to the degree to which database records fulfill our intuitions about vague expressions in natural language such as `a small rainy city near San Fr
From playlist 23C3: Who can you trust
Artificial Pancreas Control Using Fuzzy Logic
Design an artificial pancreas nonlinear control system in Simulink® using fuzzy logic. Design a complex fuzzy logic controller by combining two smaller interconnected fuzzy systems in a fuzzy tree. Automatically tune the membership function parameters and rules of a fuzzy inference system.
From playlist AI, Machine Learning, Data Science | Developer Tech Showcase
Fuzzy Logic Controller in Simulink
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Integrate a fuzzy logic controller into a Simulink® model. For more videos, visit: http://www.mathworks.com/products/fuzzy-logic/examples.html
From playlist Control System Design and Analysis
Getting Started with Fuzzy Logic Toolbox (Part 3)
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Simulate and analyze fuzzy inference systems. For more videos, visit http://www.mathworks.com/products/fuzzy-logic/examples.html
From playlist Control System Design and Analysis
Object Tracking with a 2 DOF Robot Arm Using Fuzzy Logic #MATLABHW2k16
An anthropometrically designed 2 DOF robot arm is controlled by fuzzy logic in order to track a reference object, making use of two spheres of distinctive color. The implementation in Matlab of a fuzzy control, allows the robot to deal with the nonlinearities presented in this kind of syst
From playlist MATLAB and Simulink Hardware Projects
Logic: The Structure of Reason
As a tool for characterizing rational thought, logic cuts across many philosophical disciplines and lies at the core of mathematics and computer science. Drawing on Aristotle’s Organon, Russell’s Principia Mathematica, and other central works, this program tracks the evolution of logic, be
From playlist Logic & Philosophy of Mathematics