Questions tagged [fuzzy]
Refers to generalizations of various concepts from binary (either 0 or 1) to continuous (from 0 to 1). Use this tag for all fuzzy concepts, such as fuzzy sets, fuzzy clustering, fuzzy logic, etc.
72
questions
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12 views
Fuzzy Regression Discontinuity Design - small probability of treatment
I am doing a Fuzzy RDD and in my regressions I obtain strangely large coefficients. Does anyone have a suggestion how to interpret these?
An example: From the second stage of an IV regression, I get ...
1
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1answer
27 views
How to apply fuzzy membership function to binary images?
I'm implementing this paper "Neural Network-Based Edge Detection for Automated
Medical Diagnosis by Lu et al" and it says it uses a fuzzy membership function to improve its generalization accuracy.
...
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0answers
24 views
Can a fuzzy logic inference rule accomodate multiple inputs corresponding to the same output?
With regards to rules in a fuzzy inference system,
part of an example related to tipping at a dinner is commonly shown as:
...
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0answers
12 views
Approximate de-duplication
Suppose I have a dataset like this:
that I need to examine for possible duplicates. Here, the 2nd and 3rd rows are suspected duplicates. I'm aware of string distance methods as well as approximate ...
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0answers
36 views
How to calculate accuracy of Mamdani fuzzy inference system?
I have make a Mamdani fuzzy system and know I want to test my 25% test data in that in MatLab,
Firstly, I made c4.5 decision tree based on 75% of data then I extract the rules from them, and I import ...
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0answers
20 views
Placebo Thresholds in a Fuzzy Regression Discontinuity Design
Matsudaira (2008) used test scores to evaluate the impact of summer school attendance on students' performance. In this system, a student that scored less than an arbitrary grade was more likely to be ...
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0answers
5 views
Combine Noisy predictions from an optical character recognition program
I am trying to perform optical character recognition on a field of text from different angles as the camera passes over it and beyond it. Due to the 3D skewing of the image, thee readings of the OCR ...
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0answers
78 views
Fuzzy Regression Discontinuity and Instrumental Variables
What is the logic behind using an IV for a fuzzy RD?
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0answers
44 views
How should I understand a Self-Organizing Fuzzy Neural Network?
I'm currently doing research to write a paper for a conference submission (undergraduate-level) and had a question regarding the research I've been conducting.
My topic is on using Twitter sentiment ...
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0answers
45 views
what`s the name or meaning of this clustering algorithm?
I have been learning the fuzzy clstering algorithm recently,and I got an object function as following:
\begin{array}{l}
\min \;\;J = \sum\limits_{i = 1}^N {\sum\limits_{k = 1}^K {\sum\limits_{j = 1}^...
10
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2answers
494 views
What ever happened to Fuzzy Logic?
Fuzzy logic seemed like an active area of research in machine learning and data mining back when I was in grad school (early 2000s). Fuzzy inference systems, fuzzy c-means, fuzzy versions of the ...
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0answers
972 views
2SLS Estimation for a Fuzzy Regression Discontinuity Design
I am using a Fuzzy Regression Discontinuity Design for the first time and this maybe a very basic question to some. I am estimating the Fuzzy RD with 2SLS.
Suppose, my data is of the following form:
...
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514 views
Interaction Term in Fuzzy RD
I'm hoping someone can help me understand the intuition behind the interaction term in a fuzzy RD model. The setup is as follows:
$x$ = rating variable with discontinuity at $x = k$
$D$ = dummy=1 if ...
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0answers
39 views
fuzzy rule extraction using fuzzy c-means
I have read an article which is about implementing classification methods using fuzzy-inference.
It has used c-means, in one of its parts, for extracting fuzzy-rules.
It says we have a fuzzy-rule ...
0
votes
1answer
80 views
Comparing the performance of a fuzzy model and a probabilistic classifier
For a binary classification task, I have (1) a fuzzy model (Mamdani) that outputs a number between 0 and 20 (after defuzzification) and (2) a logistic regression that outputs a number between 0 and 1. ...
5
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0answers
53 views
Can fuzzy numbers be used to propagate uncertainty?
I don't know if this is the right forum to ask this, but I'm currently reviewing a paper that uses arithmetic on fuzzy numbers to propagate uncertainty.
As I understand the authors, they claim that ...
0
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2answers
553 views
Intercoder reliability without mutually-exclusive codes
I have the results from qualitatively coding the contents of ~100 images, with 7 categories and 96 tags in total. It's incredibly difficult to define mutually exclusive codes for the content we're ...
0
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1answer
26 views
Is there any practical situation where the response variable of a poisson regression is fuzzy
In certain models like a logistic model; fuzzy responses can occur. We may have suspicion in determining the state of the response variable (0 or 1) and
therefore, cannot categorize the individual ...
2
votes
0answers
573 views
Fuzzy RDD in Stata with two cutoff points
I am running a Fuzzy Regression Discontinuity Design using 2SLS.
If I specified the model (and most importantly the IVs) correctly as i have never worked on a RDD before. The difference to the usual ...
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votes
1answer
116 views
what distance measure use for fuzzy c means clustering
How many distance measure that can be use for fuzzy C-means clustering ?
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1answer
58 views
Find the best matching element from a bunch of questions [closed]
First, I am sorry I have poor knowledge of math and statistics (but willing to learn). So it could contain non-sense and I would be glad to precise my thought.
Here is the thing; I will have elements ...
4
votes
1answer
795 views
Algorithm recommendation: Short string classification/matching (fuzzy string matching or machine learning ?)
I have a product categories tree with names like apparel, jeans, beauty & wellness etc.
...
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0answers
49 views
IoT - Sensor Fault Detection and Isolation Techniques using Fuzzy-Model
Im working on a project which use fuzzy-model based fault detection and isolation technique to detect and diagnose possible fault occurrence on multiple types of sensor. I got stuck with the scheme of ...
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0answers
96 views
What type of data is causing the zero Sigma in Anfis?
I find this paragraph in "Intelligent Systems and Applications: Extended and Selected Results from the ..." book that discarded some data from dataset because they were not acceptable by the MATLAB ...
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0answers
49 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 ...
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0answers
147 views
FIS with k-fold cross validation?
I want to measure the fuzzy system performances directly through cross-validation. How can I do this? How the concept of training to get model and test the model?
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1answer
163 views
Feature Selection using Fuzzy Logic
I would like to know, Is it possible to do dimensionality reduction/ feature selection using Fuzzy logic ? If so, how does it work ?.
Advance thanks for the help.
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1answer
98 views
Event similarity based on probability distance measure
Hеllо еvеrybоdy!
It became interesting to me to code the following case: I have some spatio temporal events, and they have uncertain boundaries (for example "John visited England in April" and "Harry ...
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2answers
66 views
How to estimate daily spam rate from random hourly sampling?
Problem at hand: I need to compute daily ratio of spam vs non spam emails by sampling N number of emails per unit of time.
In other words, instead of collecting all emails and sorting them, I would ...
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0answers
89 views
Is it possible to summarize unordered daily observations of counts in multiple time series?
I have a database of items, each of which is associated with one or more daily unordered time series; one time series for each source it's available from on a given day. Each observation in the ...
1
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1answer
104 views
Probabilistically-weighted variance
How do I calculate a statistic for one mixture component?
My samples are drawn from a distribution which is an additive mixture of two overlapping component distributions. Given a probabilistic ...
1
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1answer
151 views
Fuzzy logic and Artificial Intelligence
Is it correct to classify fuzzy logic under Artificial Intelligence i.e. can fuzzy logic be considered a concept under the purview of of AI. If not how can we classify fuzzy logic.
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0answers
77 views
Fuzzy logic control model
I'm new in fuzzy logic modeling. I'm using the package "sets" in R. Starting form a database of crisps variables of 8 input varialbes and 1 output variable, I performed the fuzzyfication and I ...
0
votes
1answer
683 views
Initializing Fuzzy C means clustering
I have been performing fuzzy c means clustering using Matlab toolbox for my clustering problem. Unfortunately it leads to unstable performance since the selection of parameter membership (Uij) is ...
1
vote
1answer
594 views
ANFIS with cross-validation?
Can I use cross-validation k-fold for making FIS and optimization it with ANFIS or ANFIS itself has cross-validation?
First my data was divided into two group randomly. One for making model and other ...
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0answers
102 views
correlation between attributes in fuzzy dataset
I am new in this field. I want to ask if it is any simple way how to measure correlation between two attributes in data set. Data are defined by fuzzy logic. I have own implementation of fuzzy ...
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0answers
438 views
How to do postal addresses fuzzy matching?
I would like to know how to match postal addresses when their format differ or when one of them is mispelled.
So far I've found different solutions but I think that they are quite old and not very ...
0
votes
1answer
1k views
How to improve the performance of svm by using fuzzy membership function in R?
According to Lin and Wang, 2002, fuzzy support vector machine gives good performance on reducing the effects of outliers and significantly improves the classification accuracy and generalization.
...
1
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1answer
205 views
Statistical test whether to use Sharp or Fuzzy Regression Discontinuity Design
Is there a statistical test that would allow me to test whether I should use a sharp or fuzzy regression discontinuity design?
Intuitively, I can think of two decision rules:
(i) Test whether the ...
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0answers
296 views
Fuzzy Clustering Evaluation Metrics
I have a corpus of text documents which I am clustering using LDA & C-Means. I am trying to find the best input for the LDA algorithm (stemming, stop words removed etc), and I want to evaluate the ...
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0answers
48 views
How do I estimate the acceptable range?
I need to classify candidates as "good" or "bad" where a "good" candidate's age and income, say, must fall within some ranges; I'm trying to discover the boundaries for those ranges. A candidate must ...
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0answers
136 views
Alternative Optimization, Picard Iterations and Fuzzy C-Means (FCM) objective function
Question
In Bezdek's [1] treatment of FCM (details below) after setting up the model and explaining you can't solve it directly/with usual gradient methods, he then says he uses Picard's method to ...
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691 views
How can I solve this classification problem?
I working with R on a classification problem. My outcome variable is binary with two levels 1 and 2.
First of all I tried the logistic regression, which of all methods has the best performance, ...
1
vote
1answer
775 views
Testing Clustering Variables
I have two clusters. Those two clusters were obtained using Fuzzy C-Means with 8 variables. I'd like to know which variables have important role in differentiating the two clusters. Can I use t test ...
0
votes
1answer
68 views
Analysing the spread of data of a variable
In my data set there are repeated measures where each subject is measured at three time points.I want to see how the data of a single variable is spread.That is to find groups so that I can categorize ...
3
votes
0answers
33 views
Test for participant subgroups in gradual means shift
In an experiment with 44 participants I have measured the response time for a set of stimuli, where the response could be a or b. The means of the two responses do not differ significantly (783.3 vs ...
0
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1answer
96 views
Degree of belief in fuzzy modelling
I’ was reading a paper on fuzzy regression. In that paper, and many other papers on fuzzy regression, the authors use most of the time a $h$ to indicate a certain degree of belief. Unfortunately the ...
3
votes
1answer
10k views
Fuzzy RDD issue
I am fairly new to econometrics and maybe this is a very basic question to some.
I am running a Fuzzy Regression Discontinuity (RD) design in Stata and I am having doubts about whether I am ...
1
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1answer
847 views
Fuzzy regression (using linear programming) [closed]
I want to replicate a fuzzy regression using a linear programming problem approach.
I have the following information: " A fuzzy regression analysis with only one independent variable X results in ...
1
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1answer
309 views
Is it posible to perform the inverse of multidimensional scaling analysis
We have lot of 3D data and we reduced it to 2D for performing fuzzy clustering and obtaining prototypes. We used some matlab functions that were very well documented. Now we would like to see to which ...
