'Membership function' presentation slideshows

Chapter 2: FUZZY SETS

Chapter 2: FUZZY SETS. Introduction (2.1) Basic Definitions &Terminology (2.2) Set-theoretic Operations (2.3) Membership Function (MF) Formulation & Parameterization (2.4) More on Fuzzy Union, Intersection & Complement (2.5).

956 views • 44 slides

An Introduction to Fuzzy Reasoning: Theory and applications

An Introduction to Fuzzy Reasoning: Theory and applications. Constantinos Siettos School of Applied Mathematics & Physics National Technical University of Athens, Greece. OUTLINE. What is Fuzzy Reasoning Basic elements of Fuzzy Set Theory Basic structure of a fuzzy inference system

595 views • 42 slides

Objectives in modeling

Objectives in modeling. Analytical models. Process analysis: studies of reaction mechanisms, kinetics, parameter estimation. Process design. Process optimization. Process on-line monitoring. Process control. Input - output models. Process on-line monitoring. Process control.

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Conceptual Granularity, Fuzzy and Rough Sets

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3. Fuzzy Control

3. Fuzzy Control. The primary goal of control engineering is to distill and apply knowledge about how to control a process so that the resulting control system will reliably and safely achieve high-performance operation .

768 views • 33 slides

Advances in Sensor Data Fusion: A Review

Advances in Sensor Data Fusion: A Review. Bahador Khaleghi Pattern Analysis and Machine Intelligence Lab. Outline. Introduction Multisensor Data Fusion Challenging Problems MDF Algorithms MDF Architectures Discussion Conclusion. Introduction.

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Lecture 3

Lecture 3. Fuzzy sets. 1.1 Sets 1.1.1 Elements of sets An universal set X is defined in the universe of discourse and it includes all possible elements related with the given problem. If we define a set A in the universal set X , we see the following relationships A ? X

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2D1358 Object Oriented Program Construction in C++

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Fuzzy Logic Control

Fuzzy Logic Control. Feedback Control System. Plant, u, y Controller, e, u Reference input, r Sensor. Classical Controller Design. Given mathematical model of plant (i.e. transfer function) Given objectives of Feedback Control System

2.05k views • 27 slides

Soft Computing For Controle

Evolving Fuzzy Rules with Genetic Programming and Clustering. Soft Computing For Controle. G-REX (Previous work). The transformation of an highly accurate opaque model to a comprehensible model . Genetic programming Black box Arbitary representation and fitness function

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Fuzzification

Fuzzification. Conversion of real input to fuzzy set values e.g. Medium ( x ) = { 0 if x >= 1.90 or x < 1.70, (1.90 - x)/0.1 if x >= 1.80 and x < 1.90, (x- 1.70)/0.1 if x >= 1.70 and x < 1.80 }. Inference Engine. Fuzzy rules based on fuzzy premises and fuzzy consequences e.g.

1.48k views • 24 slides

Fuzzy Logic (1)

Fuzzy Logic (1). Intelligent System Course. A. A. A. A. A. A. A. O. O. O. O. O. O. O. Group of apple. Group of orange. Apples, oranges or in between?. Lotfi Zadeh. A. A. A. A. A. A. A. O. O. O. O. O. O. O. Thinking in Fuzzy. Fuzzy group of apples.

1.05k views • 23 slides

Slides for Fuzzy Sets, Ch. 2 of Neuro-Fuzzy and Soft Computing

Neuro-Fuzzy and Soft Computing: Fuzzy Sets. Slides for Fuzzy Sets, Ch. 2 of Neuro-Fuzzy and Soft Computing . Provided: J.-S. Roger Jang Modified: Vali Derhami. Fuzzy Sets: Outline. Introduction Basic definitions and terminology Set-theoretic operations MF formulation and parameterization

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MATLAB Fuzzy Logic Toolbox

MATLAB Fuzzy Logic Toolbox. CS364 Artificial Intelligence. MATLAB Fuzzy Logic Toolbox. Introduction Graphical User Interface (GUI) Tools Example: Dinner for two. Introduction. MATLAB fuzzy logic toolbox facilitates the development of fuzzy-logic systems using:.

718 views • 19 slides

Fuzzy Sets

Neuro-Fuzzy and Soft Computing: Fuzzy Sets. Fuzzy Sets. Fuzzy Sets: Outline. Introduction Basic definitions and terminology Set-theoretic operations MF formulation and parameterization MFs of one and two dimensions Derivatives of parameterized MFs

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A New Approach to Teaching Fuzzy Logic System Design Emine Inelmen, Erol Inelmen, Ahmad Ibrahim

A New Approach to Teaching Fuzzy Logic System Design Emine Inelmen, Erol Inelmen, Ahmad Ibrahim Padova University, Padova, Italy Bogazici University, Istanbul, Turkey DeVry Institute of Technology, Toronto, Ontario, Canada. EXPERT. ENGINEER. USER. INTRODUCTION. DISCUSSION. CONCLUSION.

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Fuzzy Logic

Fuzzy Logic. 11/6/2001. Agenda. General Definition Applications Formal Definitions Operations Rules Fuzzy Air Conditioner Controller Structure. General Definition. Fuzzy Logic - 1965 Lotfi Zadeh, Berkely

440 views • 11 slides

Fuzzy Logic

Fuzzy Logic. 11/6/2001. Agenda. General Definition Applications Formal Definitions Operations Rules Fuzzy Air Conditioner Controller Structure. General Definition. Fuzzy Logic - 1965 Lotfi Zadeh, Berkely

263 views • 11 slides

Fuzzy Logic

Fuzzy Logic. 11/6/2001. Agenda. General Definition Applications Formal Definitions Operations Rules Fuzzy Air Conditioner Controller Structure. General Definition. Fuzzy Logic - 1965 Lotfi Zadeh, Berkely

600 views • 11 slides

Fuzzification

488 views • 10 slides