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  • Using Fuzzy Logic in Knowledge Tests CEURWS

    201557&ensp·&ensp2 Preconditions for using the fuzzy logic in the scaling of students' answers Eduional measurement technologies are developing in the close cooperation with the achievements of pedagogy, psychology, sociology and other empirical sciences, which are characterized by using the quantitative and quality indiors, differ by

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  • Fuzzy Logic ScienceDirect

    The book first elaborates on fuzzy numbers and logic, fuzzy systems on the job, and Fuzzy Knowledge Builder. Discussions focus on formatting the knowledge base for an inference engine, personnel detection system, using a knowledge base in an inference engine, fuzzy business systems, industrial fuzzy systems, fuzzy sets and numbers, and

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  • Fuzzy Logic Toolbox MATLAB

    2018123&ensp·&enspFuzzy Logic Toolbox ™ provides functions, apps, and a Simulink ® block for analyzing, designing, and simulating systems based on fuzzy logic. The product guides you

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  • Contact – Fuzzy Logic

    We have a proven record of helping clients all over the world deliver successful apps on time and on budget across multiple platforms using a range of business models.

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  • Stock Technical Analysis using Multi Agent and Fuzzy Logic

    2009720&ensp·&enspA. Fuzzy Logic Model Fuzzy logic was developed in the 1965 by Dr. Lotfi A. Zadeh, Professor of Computer Science at the University of California at Berkeley. Fuzzy logic can be used to mathematically formulate imprecise concepts (lik e tall, warm, and cool) so they can be understood and processed by computers. Fuzzy logic

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  • Stock Technical Analysis using Multi Agent and Fuzzy Logic

    2009720&ensp·&enspA. Fuzzy Logic Model Fuzzy logic was developed in the 1965 by Dr. Lotfi A. Zadeh, Professor of Computer Science at the University of California at Berkeley. Fuzzy logic can be used to mathematically formulate imprecise concepts (lik e tall, warm, and cool) so they can be understood and processed by computers. Fuzzy logic

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  • Introduction to Fuzzy Logic using MATLAB springer

    Fuzzy Logic, at present is a hot topic, among academicians as well various programmers. This book is provided to give a broad, indepth overview of the field of Fuzzy Logic. The basic principles of Fuzzy Logic are discussed in detail with various solved examples.

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  • Using Fuzzy Logic or Probability Approach in Revising

    201882&ensp·&ensp48 Morteza Marzjarani: Using Fuzzy Logic or Probability Approach in Revising Unknown, Invalid, or Missing Data Points: Appliion to Shrimp Data Files in the Gulf of Mexico, Years 2005 and 2006 at the fathomzone 1. Unfortunately, none of the three methods, the probability, the fuzzy logic

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  • Using fuzzy logic in image processing Vision Systems Design

    To perform image processing using fuzzy logic, three stages must occur. First image fuzzifiion is used to modify the membership values of a specific data set or image. After the image data are transformed from graylevel plane to the membership plane using fuzzifi ion, appropriate fuzzy techniques modify the membership values.

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  • Fuzzy Logic Examples using Matlab UT Arlington – UTA

    20171214&ensp·&enspFuzzy Logic Examples using Matlab Consider a very simple example: We need to control the speed of a motor by changing the input voltage. When a set point is defined, if for some reason, the motor runs faster, we need to slow it down by reducing the input voltage. If the motor slows below the set point, the input voltage must be

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  • Gait generation of a twolegged robot by using

    2010929&ensp·&enspGait generation of a twolegged robot by using adaptive network based fuzzy logic control Umit ONEN1, Mete KALYONCU2, Mustafa TINKIR3, Fatih M. BOTSALI4

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  • FUZZY LOGIC FUNDAMENTALS pearsoncmg

    200969&ensp·&enspvalued logic or even multivalued logic, but logic with fuzzy truths, fuzzy connectiveness, and fuzzy rules of inference. A fuzzy set is an extension of a crisp set. Crisp sets allow only full membership or no membership at all, whereas fuzzy sets allow partial membership. In a crisp

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  • Fuzzy Logic app uses fuzzy logic to dedupe data

    Fuzzy logic is a useful time saving software to find data dupliions in a variety of data sources using inexact matching fuzzy logic to dedupe data.

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  • Autonomous Environment Control System using Fuzzy Logic

    201699&ensp·&enspThis appliion of fuzzy logic would contribute in minimizing the energy wastages. Fuzzy rules are formulated, applied and tested using MATLAB simulation. Index Terms— autonomous environment control system, fuzzy logic environment control, luminance intensity, temperature and humidity level control system.

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  • Topic: fuzzylogic · GitHub

    2018106&ensp·&enspAndroid appliion for the diagnosis of cardiovascular diseases using Fuzzy Logic android androidapp fuzzylogic Java Updated Mar 20, 2018. LimaEduardo / iafuzzy Solving the problem of the brakes of a car with fuzzy logic python artificial

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  • Fuzzy Logic sidefx

    2018125&ensp·&enspFuzzy logic is a useful tool for building complex crowd behaviors. Unlike boolean logic where each variable is either false or true, fuzzy logic allows a range of possible truth values between 0 (totally false) and 1 (totally true).

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  • FUZZY LOGIC meaning in the Cambridge English Dictionary

    20181031&ensp·&enspfuzzy logic definition: a system of theories used in mathematics, computing, and philosophy to deal with statements that are neither true nor false. Learn more.

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  • Introduction to Fuzzy Logic using MATLAB

    2015522&ensp·&enspFuzzy Logic using Matlab The principles of fuzzy systems are dealt in depth with the

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  • Postearthquake assessment of buildings damage using fuzzy

    A fuzzy logic approach for postearthquake damage assessment is developed. • Fuzzy rule weights are applied to tune the approach's performance. • Postearthquake data (27,000 buildings) is used to calibrate the approach. • High prediction performance is achieved using a small number of weighted fuzzy

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  • Temperature Control using Fuzzy Logic arXiv

    2014218&ensp·&enspFuzzy logic, Fuzzy Logic Controller (FLC) and temperature control system. 1. Introduction Low cost temperature control using fuzzy logic system block diagram shown in the fig. in this system set point of the temperature is given by the operator using 4X4 keypad. LM35 temperature sensor sense the current temperature.

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  • FUZZY LOGIC CONTROLLER SIMULATION

    201532&ensp·&enspFuzzy logic is not logic that is fuzzy, but logic that is used to describe fuzziness. Fuzzy logic is the theory of fuzzy sets, sets that calibrate vagueness [3]. It is based on the idea that all things admit of degrees. In other words, fuzzy logic is a set of mathematical principles for knowledge representation based on degrees of membership.

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  • Features Fuzzy Logic Toolbox MATLAB

    20181118&ensp·&enspThe Fuzzy Logic Toolbox provides apps to let you perform classical fuzzy system development and pattern recognition. Using the toolbox, you can:

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  • Fuzzy Logic using MatlabCSDN

    2018823&ensp·&enspThe principles of fuzzy systems are dealt in depth with the information and the useful knowledge available for computing processes. The various algorithms and the

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  • Fuzzy Logic Toolbox MATLAB MathWorks

    2018124&ensp·&enspFuzzy Logic Toolbox ™ provides functions, apps, and a Simulink ® block for analyzing, designing, and simulating systems based on fuzzy logic. The product guides you through the steps of designing fuzzy inference systems. Functions are provided for many common methods, including fuzzy clustering and adaptive neurofuzzy learning.

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  • Introduction Fuzzy Inference Systems Examples

    2012102&ensp·&enspFuzzy Logic Fuzzy logic differs from classical logic in that statements are no longer black or white, true or false, on or off. In traditional logic an object takes on a value of either zero or one. In fuzzy logic, a statement can assume any real value between 0 and 1, representing the degree to which an element belongs to a given set.

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  • Introduction Fuzzy Inference Systems Examples

    2012102&ensp·&enspFuzzy Logic Fuzzy logic differs from classical logic in that statements are no longer black or white, true or false, on or off. In traditional logic an object takes on a value of either zero or one. In fuzzy logic, a statement can assume any real value between 0 and 1, representing the degree to which an element belongs to a given set.

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  • AntilockBraking System Using Fuzzy Logic

    20171217&ensp·&enspFuzzy Logic: Fuzzy logic is a form of multivalued logic as well [5]. derived from fuzzy set theory to deal with reasoning that is approximate rather than precise. In contrast withAnalysis of AntilockBraking Systems: The aim of an "crisp logic" where binary sets have binary logic, fuzzy ABS is to minimize brake distance while steerability is

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  • Fuzzy Logic Example #2 vpetro.io

    2013324&ensp·&enspFew months ago I came across a paper titled, "Animated Fuzzy Logic" by G. Meehan and M. Joy . The abstract of the paper is as follows: In this paper we aim to give an introduction to fuzzy logic using the language Haskell to implement our solutions.

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  • Fuzzy Logic Examples Fuzzy Logic Theoretical Computer

    Character Recognition Using Fuzzy Logic Oct 2017 Dr. Khaled ElMetwally, CU 29 Character representation (7x5 dot matrix) Oct 2014 Dr. Khaled ElMetwally, CU 30 Hindi numerals Oct 2014 Dr. Khaled ElMetwally, CU 31 Arabic numerals Oct 2014 Dr. Khaled ElMetwally, CU 32

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  • SMART IRRIGATION USING FUZZY LOGIC METHOD

    2018130&ensp·&ensploop fuzzy logic control system using Mamdani control system. The inputs to the fuzzy logic control system are adapted from a humidity sensor, temperature sensor and the flux sensor in the field. The output for this system is the lamp and the water pump. The simulation is done using MATLAB software and SIMULI NK.

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  • Fuzzy control system Wikipedia

    Chinese

    20181129&ensp·&enspA fuzzy control system is a control system based on fuzzy logic—a mathematical system that analyzes analog input values in terms of logical variables that take on continuous values between 0 and 1, in contrast to classical or digital logic, which operates on discrete values of either 1 or 0 (true or false, respectively).

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  • Air Flow Control Using Fuzzy Logic Microchip Technology

    2009615&ensp·&enspFuzzy logic control can be used to implement a wide variety of intelligent functions including everything from consumer electronic goods and appliances to auto electronics, process control, and automation. Typically, fuzzy logic control appliions fall into two egories. First, it can be used to enhance existing

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  • What Is Fuzzy Logic? MATLAB & Simulink

    If a simpler solution already exists, use it. Fuzzy logic is the codifiion of common sense — use common sense when you implement it and you will probably make the right decision. Many controllers, for example, do a fine job without using fuzzy logic.

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  • Fuzzy Logic Projects IEEE Fuzzy Logic Projects

    2018121&ensp·&enspFuzzy Logic Projects. Fuzzy logic allows approximate human reasoning ability to knowledge based system by an inference morphology. In order to make computers intelligent the fuzzy logic has to be formally coded . The reative needness of precision describes fuzzy logic.

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  • Using Fuzzy Logic or Probability Approach in Revising

    201882&ensp·&enspProbability and fuzzy logic have played important roles in data analysis, prediction, and estimation. Fuzzy logic can help to solve complex problems using approximations and allows users to analyze incomplete and imprecise data sets.

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  • Introduction to Fuzzy Logic using MATLAB Springer

    2017825&ensp·&enspFuzzy logic provides mathematical strength to the emulation of certain perceptual and linguistic attributes associated with human cognition, whereas the science of neural networks provides a new computing tool with learning

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  • Fuzzy logic mathematics Britannica

    2018128&ensp·&enspFuzzy logic: Fuzzy logic, in mathematics, a form of logic based on the concept of a fuzzy set. Membership in fuzzy sets is expressed in degrees of truth—i.e., as a continuum of values ranging from 0 to 1. In a narrow sense, the term fuzzy logic refers

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  • Temperature Control System Using Fuzzy Logic Technique

    2017331&ensp·&enspIn a broad sense, fuzzy logic refers to fuzzy sets a set with nonsharp boundaries. Fuzzy logic is widely used in machine controls, as it allows for a generalization of conventional logic and provides for terms between "true" and "false", like "almost true" or "partially false". This makes the logic not to be directly

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