Questions tagged [fuzzy-logic]

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What is the generalization of binary/boolean matrix factorization to fuzzy logics called?

Given a matrix of boolean values $\mathbf{X} \in \mathbb{B}^{M \times N} = \{\top, \bot\}^{M \times N}$, the binary/boolean matrix factorization (BMF) problem is to find $\mathbf{U} \in \mathbb{B}^{M \...
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How fit_transform, transform and TfidfVectorizer works

I'm a machine learning beginner and I tried to use the cosine similarity on fuzzy matching purpose. In the following example I want to compare 'data_dirty' with 'data_clean' : When I have to ...
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How to we draw and calculate implication of two Fuzzy sets?

For the two membership functions , u(A) = <4,5,8,9> (Trapezoid) and u(B)=<3,4,5> ( Triangular ) , how do we calculate u(A-->B) ? I know how do we calculate it as a logic , since A-->B = Not A ...
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Semi-defuzzification or getting rid of “small” membership values

I am working on data which looks like: > df 1 2 3 4 0 0.5 0.4 0.05 0.05 which are generated from c-means like algorithm. While defuzzification has ...
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Is there any relation between binary/ternary quantization using in deep learning and fuzzy?

I am new with binary/ternary quantization but its structure seems to have some relation with fuzzy. Am I in right way? Is there any relation between binary/ternary quantization using in deep learning ...
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16 views

Can we use Sugeno Fuzzy Interface System when labels/Class are important?

After some researching on the Internet I found that one of the popular solutions is using ANFIS in MATLAB. As you know in MATLAB toolbox, ANFIS by default uses Sugeno Fuzzy Interface system. I have ...
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25 views

Fuzzily join two large sets of postal addresses

I have two tables of postal address information - the one is about 2 million records, the other roughly 40 million. They have quite bad quality, and also are not quite compatible with each other (...
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2answers
388 views

What's the difference between multi label classification and fuzzy classification?

Is it just the between academics and practitioners in term usage? Or is theoretical difference of how we consider each sample: as belonging to multiple classes at once or to one fuzzy class? Or ...
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89 views

what is fuzzy svm?

I have to solve this question for my homework but I don't get how to formulate svm to FSVM. can someone please guide me? What is your idea to have a model of SVM classifier in which instances can ...
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1answer
307 views

Fuzzy Clustering for Categorical Data

I have a dataset in which each feature is either 0 or 1 (like BBOW). I want to cluster the data such that one point can belong to more than one cluster(soft assignment). I searched about this and I ...
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1answer
419 views

Fuzzy logic for clasification

I am trying to implement fuzzy logic system to classifiy dataset of 12 inputs and 1 ouput. I wanna understand as first taks to fuzzify inputs how Can we set intervals or we need to segment inputs ...
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1answer
365 views

What algorithm could be used to fuzzy merge multiple datasets?

Problem Description I have several tables that are related but do not share any unique key. I've come across this problem several times with customer data in separate source systems that needs to be ...
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1answer
49 views

Fuzzy rule based system: Should rules contain all inputs and outputs?

I am trying to design an FRBS using Matlab fuzzy tool box. The fuzzy system will be used to predict player's type based on the inputs and a set of rules defined by experts. I have 6 inputs and 4 ...
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1answer
98 views

[R]Fuzzy C-Means, different between ppclust vs e1071?

no. of cluster = 10, data points = 6000 library(ppclust) cm <- fcm(x,centers = cen) takes ~ 10 minutes ...
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1answer
4k views

Plagiarism detection with Python

Background Using Python, I need to score the existence of a quote, containing around 2-7 words, a longer text. The quote doesn't have to match the text precisely, but similar words should have the ...
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1answer
5k views

Data Matching Using Machine Learning

I have around 4000 customer records and 6000 user records and about 3000 customer records match leaving 1000 unmatched customers. I have created a fuzzy matching algorithm using Levenshtein and ...
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1answer
206 views

What is the rationale to use weights and biases in a neural network?

Searched a lot of research papers, blogs and videos but couldnt find an acceptable answer for choosing the weights and biases in neural network. Few people have mentioned to use weights randomly but ...
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1answer
768 views

datasets for fuzzy clustering

By now i thought that fuzzy clustering can be applied to any kind of data-sets but now i have heard that it can be applied only to specific data-sets that involve the concept of probability, is that ...
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37 views

Can inferencing come from incomplete rule sets?

I have some data for medical diagnosis, consisting of some rules about relationship of diseases and their symptoms, for example disease D1 frequently has symptom S1 or disease D2 rarely has symptom S1....
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1answer
220 views

Check similarity of table/csv of Product Names

We've got a list of approximately 18,000 product names (they're from 80-90 sources, so quite a few that are similar but not duplicates - these were picked as DISTINCT from a table) unfortunately there ...
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338 views

Is there a parallel to record linkage/entity resolution where ML can be applied to the data for schema matching?

In the context of collecting disparate data sets holding similar information, are their examples of algorithms being able to resolve attributes of records being similar (while their values are ...
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1answer
668 views

Fuzzy Inference system in R

I want to use R for implementing a fuzzy inference system. There are 4 input variables and one output. Each rule is dependent on all input variables and based on there membership the output class is ...
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967 views

Fuzzy Rules with more than two variable in python

I am trying to build a fuzzy inference system in python using skfuzzy library. I have 4 variables depending on which output class is decided. ...
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1answer
138 views

Why does image segmentation benefit from fuzzy clustering?

In many image processing papers, I've seen that they used fuzzy logic for segmentation I wonder how fuzzification impact the result that made Fuzzy-C-Means better than ordinary K-Means. PS. If ...
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Does anyone have any thought how come the fuzzy rules can be verified and validated?

Fuzzy logic was utilized to derive a performance indicator of some manufacturing facilities in an uncertain environment. There are some historical data obtained from some manufacturing facilities’ ...