Fuzzy logic

Fuzzy finite element

The fuzzy finite element method combines the well-established finite element method with the concept of fuzzy numbers, the latter being a special case of a fuzzy set. The advantage of using fuzzy numbers instead of real numbers lies in the incorporation of uncertainty (on material properties, parameters, geometry, initial conditions, etc.) in the finite element analysis. One way to establish a fuzzy finite element (FE) analysis is to use existing FE software (in-house or commercial) as an inner-level module to compute a deterministic result, and to add an outer-level loop to handle the fuzziness (uncertainty). This outer-level loop comes down to solving an optimization problem. If the inner-level deterministic module produces monotonic behavior with respect to the input variables, then the outer-level optimization problem is greatly simplified, since in this case the extrema will be located at the vertices of the domain. (Wikipedia).

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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

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20 The identity element

Sets might contain an element that can be identified as an identity element under some binary operation. Performing the operation between the identity element and any arbitrary element in the set must result in the arbitrary element. An example is the identity element for the binary opera

From playlist Abstract algebra

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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

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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

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Lisa Glaser: A picture of a spectral triple

Talk at the conference "Noncommutative geometry meets topological recursion", August 2021, University of Münster. Abstract: A compact manifold can be described through a spectral triple, consisting of a Hilbert space H, an algebra of functions A and a Dirac operator D. But what if we are g

From playlist Noncommutative geometry meets topological recursion 2021

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Fuzzy Logic Systems - Part 1: Introduction

This video is about Fuzzy Logic Systems - Part 1: Introduction

From playlist Fuzzy Logic

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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

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Topology Without Tears - Video 4c - Writing Proofs in Mathematics

This is part (c) of the fourth video in a series of videos which supplement my online book "Topology Without Tears" which is available free of charge at www.topologywithouttears.net Video 4 focusses on the extremely important topic of writing proofs. This video is about Proof by Contradict

From playlist Topology Without Tears

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Recent Results on Twisted Matrix Models by Antonio Gonzalez-Arroyo

PROGRAM NONPERTURBATIVE AND NUMERICAL APPROACHES TO QUANTUM GRAVITY, STRING THEORY AND HOLOGRAPHY (HYBRID) ORGANIZERS: David Berenstein (University of California, Santa Barbara, USA), Simon Catterall (Syracuse University, USA), Masanori Hanada (University of Surrey, UK), Anosh Joseph (II

From playlist NUMSTRING 2022

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Daniel Ranard - QCAs and approximate locality - IPAM at UCLA

Recorded 01 September 2021. Daniel Ranard of the Massachusetts Institute of Technology presents "QCAs and approximate locality" during IPAM's Graduate Summer School: Mathematics of Topological Phases of Matter. Abstract: "Unitary evolutions of quantum lattice systems that preserve locality

From playlist Graduate Summer School 2021: Mathematics of Topological Phases of Matter

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A Numerical Approach to Holography - II by Masanori Hanada

Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography DATE:27 January 2018 to 03 February 2018 VENUE:Ramanujan Lecture Hall, ICTS Bangalore The program "Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography" aims to

From playlist Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography

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Supercuspidal L-packets - Tasho Kaletha

Tasho Kaletha Member, School of Mathematics March 21, 2011 For more videos, visit http://video.ias.edu

From playlist Mathematics

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Lisa Glaser: Truncated spectral triples on the computer

Talk by Lisa Glaser in Global Noncommutative Geometry Seminar (Europe) http://www.noncommutativegeometry.nl/ncgseminar/ on February 2, 2021

From playlist Global Noncommutative Geometry Seminar (Europe)

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Commutative algebra 11 (Spectrum of a ring)

This lecture is part of an online course on commutative algebra, following the book "Commutative algebra with a view toward algebraic geometry" by David Eisenbud. In this lecture we define the spectrum of a ring as the space of prime ideals, and give a few examples. Reading: Lectures 9

From playlist Commutative algebra

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21 The inverse element

A set might contain many inverse elements under some binary operation. To have such an element, this set must also contain an identity element under the binary operation in question. An element is an inverse element of another element in a set if performing the binary operation between t

From playlist Abstract algebra

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Fuzzy Logic Systems - Part 2: Fuzzy Inference System

This video is about Fuzzy Logic Systems - Part 2: Fuzzy Inference System

From playlist Fuzzy Logic

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X Rays - A Level Physics

A basic description of the production of X rays for medical use in remote sensing. Part of the A Level Physics revision series.

From playlist A Level Physics Revision

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Hermann Schulz-Baldes: Computational K-theory via the spectral localizer.

Talk by Hermann Schulz-Baldes in Global Noncommutative Geometry Seminar (Europe) http://www.noncommutativegeometry.nl/ncgseminar/ on March 24, 2021

From playlist Global Noncommutative Geometry Seminar (Europe)

Related pages

Maxima and minima | Fuzzy number | Uncertainty | Domain of a function | Fuzzy set | Finite element method | Vertex (geometry)