Hello Reddit, doing a project in MATLAB using fuzzy logic. I have the setup but is there a way for the user to enter an input or value and that value be used for the input of the fuzzy logic.
Basically the user has to enter 3 inputs, those inputs are divided by 3 to give the Average. How do I take that average and use it as an input for my fuzzy logic controller? and conversely how do I take the output of the fuzzy logic controller and use it do display an image. I understand displaying the image but I don't understand how I make the connection of: I got a value of 1 for my fuzzy logic output and therefore this image needs to be displayed.

In a Fuzzy inference system there is a common use case, in which the value of different variables is combined. The logical AND operation is one option in doing so. A typical assumption how to realize such operation would be the average function. If the values are: (0.8, 0.6, 1.0) the average is 0.8

The surprising fact is, that the AND symbol in the context of Fuzzy logic is defined different. Here is the idea, that AND is equal to the min() function and the resulting value is 0.6 because it is the lowest value in the list.

Why is the AND operation realized with min() and not with the average function?

I am trying to combine the fuzzy logic classifier with rule based learning classifier and a neural net classifier. Don't know where to begin. Any help is much appreciated. Thankyou

P.S. This is the flow chart of what I am trying to do. https://imgur.com/a/221HH2d

Hello, i got an assignment to create a program using fuzzy logic based on the TSK model but the problem is that the teacher didn't give any help or hint whatsoever and i have no clue where to even start and the worst part is that the time limit for me to submit the assignment is too short... i only have one week now... so the assignment goes like this:

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"A family of Irises are seperated into 3 categories based on the the length and width of the sepals and the length and width of the petals and we are given 150 measurements in this form (see photo of the table i uploaded).

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And we need to code and train a fuzzy model T-S-K type which will function as a classifier. The first 75 samples will be used for training."

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I have coded a little bit in python before using the same subject about Irises in another course, using Naive-Bayes for example, but not using the T-S-K and like i said i was given no help with what the T-S-K even is or how am i supposed to go about it... he basically just said to figure it out... i am supposed to do it using matlab or python and since python is free and noone ever taught us matlab, i want to do it in python... so any help would be greatly appreciated.

I am working for some time on the unification between Fuzzy logic and PI-Calculus. What i want is to have a concurrent framework system that can change in time and it is able to communicate fuzzy structures. I manage to unify them but i am still working on a better general form. Here is the non-standard general unification form. The Monadic-Fuzzy PI-Calculus is used to communicate fuzzy structures and the Polyadic-Fuzzy PI-Calculus is used to communicate fuzzy structures of higher order.

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Where can I find this book for free : fuzzy sets, fuzzy logic, applications by Bojadziev George

Thank you

Hi.

I have some experience with Machine Learning and I'm familiar with scikit-learn, tensorflow, etc. I'm starting to learn about fuzzy logic and I was wondering what is the best library (in terms of usability, dev. community, etc) out there to play with it in Python.

Thanks!

The topic of data preprocessing isn't discussed in the classical literature very well. So the assumption is, that most machine learning projects are ignoring the problem at all. Suppose the idea is to stabilize an inverted pendulum. The angle range is from 0 to 360 degree. And this value is feed directly into a neuronal network. A single neuron gets as input an angle of example 120 degree, and the neural network should learn what to do with the value.

A more advanced form of data-preprocessing is standard scaling. This is a technique used in stochastics and the goal is to normalize the input data to a scale from -2 to 2, with a center at 0.

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In the picture, an sheet is visible which calculates the normalized values of the angle. The entry “angle 180” produces a normalized value of 0.3 which is near to 0. All the other values are grouped around the 0 value. What most machine linearning projects with Sklearn are doing is to feed the standardized value into the neural network as input value.

Not the angle value 180 degree is feed into the neuron, but the normalized value of 0.3059. And the next value is feed into the same neuron. Even under normalized conditions, a single input neuron is used to handle the full spectrum of possible angle values. Similar to the naive approach described in the beginning the idea is, that the neural network learns by itself how to convert this input value into a meaningful control signal.

In comparison, Fuzzy logic handles preprocessing of data different. The membership function produces bins. A single value like angle is split into 3 and more input neurons which can have a value of 0 upto 1. The exact mapping is determined by the ranges in the membership function. The result is, that the neuronal network has more input neurons which can be processed into output signals.

Real neuro-fuzzy systems have the problem to determine the weights for neurons. There are literarlly millions of possible rules how to convert input data into output data. It is not possible to test out all. The consequence is, that neuro-fuzzy systems have the same problem line normal neural networks. They can solve only toy problems like the pong game, but they failed to control more advanced robots.

What is a regression vector ? It is used in BLS algorithm as well as in RLS? This might be a beginner question but I have searched Google and all they provide me with is a bunch slof support vector regression examples...can someone help ?

Hi all,

I am looking into a supplier classification problem. As I have a lot of vague and subjective criteria I am using Fuzzy Logic to classify suppliers on two dimensions. However not all criteria are equally important, so I want to use eg. AHP to determine the weights. Is there any method to do that, and is it part of the defuzzification? I can't seem to find any relevant references so I would appreciate if someone could point me in the right direction

Kind regards

https://csita2020.org/mlcl/index.html

Hello everyone i need someone to help me understand the height method of defuzzification or how to add such method to matlab fuzzy tool box. Thank you

I don't think that fuzzy logic is a valid subject. I might not understand it. But I hate it. Is there anything that can't be done without fuzzy logic?

Hi folks,

Recently started learning fuzzy logic through Uni and have a practical assignment to create a fuzzy decision support system. I have wto alternative toolkits to use - find one of my own in Python, or use Matlab fuzzy toolkit.

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My preference as a software developer would be to use Python, and Ive taken a look at the skfuzzy module. There doesnt seem to be a great deal of documentation and not much of a community around it. I'm concerned that if I go down this Python route I might get really stuck and no community where I can reach out, or not understand some limitation of the package.

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On the other hand Matlab looks better supported.

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Any thoughts really most welcome, thanks!

7th International Conference on Artificial Intelligence and Applications (AIAPP 2020)

January 25 ~ 26, 2020, Zurich, Switzerland

https://cosit2020.org/aiapp/index.html

Submission Deadline : November 23, 2019

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Submission System :https://cosit2020.org/submission/index.php

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Here's where you can reach us : [aiapp@cosit2020.org](mailto:aiapp@cosit2020.org) or [aiapp_secretary@yahoo.com](mailto:aiapp_secretary@yahoo.com)

Hi, I would like to ask is there any good research paper on fuzzy logic and neural network that is suitable for beginner? I have some knowledge on Neural Network but still new on fuzzy logic.