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1
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1answer
79 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 ...
0
votes
0answers
4 views

R Fuzzy Membership function is not working correctly [migrated]

I have a two dimensional dataset and I want to calculate a score for the degree of membership of a new datapoint to that dataset. For this purpose I thought of using the membership function used in ...
0
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0answers
26 views

Fuzzy regression (using linear programming)

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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0answers
36 views

Unable to understand fuzzy logic example

I shall be grateful for an explanation of how to apply fuzzy logic based reasoning for the following example: I have 3 crisp sets of features = color, shape and texture. The objects are red ball, red ...
1
vote
1answer
42 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 ...
0
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0answers
28 views

Fuzzy C-Means / Latent Dirichlet Allocation

I have to compare the results of document clustering via latent Dirichlet allocation and fuzzy c-means. How can I do this? I've got the option to compare the probabilities the documents are assigned ...
1
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0answers
80 views

How to calculate the agreement/disagreement weight when using a similarity metric?

Hoping to get some advice from someone knowledgeable in Record Linkage. Let's assume the following: m-probability: 0.95 u-probability: 0.10 The m-probability ...
2
votes
2answers
58 views

Neuro fuzzy system for classification

I am applying Neuro fuzzy system for classifiying objects. I found only a single paper "Rough-Neuro-Fuzzy System with MICOG Defuzzification" and it is very hard to follow how the output which is the ...
1
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1answer
94 views

What is a fuzzy neuron?

The only thing I understood about fuzzy neurons is that the neuron's activation function is replaced with some operation used in fuzzy. Other than that, I didn't understand much from science paper I ...
0
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0answers
80 views

Difference between fuzzy graphical network , Markov model and Bayesian network

Referring to this answer Difference between Bayesian network and neural network and causal inference, I have come across other graphical models (1) Fuzzy Cognitive Map and (2) Neuro-Fuzzy (3) Fuzzy ...
2
votes
1answer
518 views

Difference between Bayes network, neural network, Petri Nets and decision tree

What is the difference between Neural network, Bayesian network, Decision tree and Petri Nets eventhough they are all graphical models and visually depict cause-effect relationship. Thank you
3
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0answers
26 views

Record linkage when sources have different fields

I have read a little about record linkage, but it seems to me that a requirement is that all fields in both sources can be compared. For example, with sources A and B, an assumption is that we can ...
1
vote
1answer
56 views

Reasons not to use fuzzy numbers instead of pds to represent uncertainty

Can someone explain why (if at all) it would be a bad idea to use fuzzy numbers to represent uncertainties in model parameters instead of probability distributions. I'll try to explain the motivation ...
0
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0answers
38 views

Expectation-Maximization (EM) method for parameter estimation using fuzzy logic

I am sorry if my question is not fit here. If so, please recommend me the correct forum. I am thinking of estimating a fuzzy model using the EM method. I have a set of observations from a nonlinear ...
0
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0answers
40 views

Fuzzy Neural Network Implementation

Is it possible to implement the Takagi-Sugeno (T-S) fuzzy model using PyBrain ?
0
votes
1answer
101 views

Pattern classificaton using neural network learning

Paper1 (freely available) and Paper2 (Springer) talk about application of fuzzy cognitive map (FCM) for pattern classification. I am having a tough time to understand how the equation of FCM is ...
2
votes
0answers
210 views

Propensity score and Cox regression

I have a retrospective dataset of patients treated with a certain drug (treatment, $n=46$) or with placebo (control $n=96$). The stored variables are age, sex, stage of disease. I want to assess the ...
1
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0answers
154 views

What is the difference between probability and fuzzy logic?

I have been working with fuzzy logic (FL) for years and I know there are differences between FL and probability specially concerning the way FL deals with uncertainty. However, I would like to ask ...
2
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0answers
42 views

Fuzzy Record Linkage of Spatial Datasets

I have two datasets describing real-estate properties Dataset 1 describes building characteristics; it includes the location of the entrance to the building along with building descriptions and ...
1
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0answers
34 views

Anomaly/outlier detection using fuzzy clustering

I understand that fuzzy clustering using FCM produces a membership matrix for the set of data points we feed to it. What characteristics will an anomalous cluster produced during this method have? ...
3
votes
1answer
120 views

How to translate a histogram to natural language?

Assume we have a set of histograms, let's say they describe age distribution of some people. We want to translate this: x x x x x x x x x to: mostly young; ...
4
votes
1answer
355 views

How to associate the probability output of a Random Forest classifier with reality

I am currently working with the national forest inventory of Mexico. A sample sceheme that collected data concerning the state of forests on points spread out all over the country. One of these ...
6
votes
1answer
84 views

Creating fuzzy values for binary data

I am a little bit rusty at this sort of thing, so I will not be offended if you tell me this is a stupid question. I am doing a logistic regression where my dependent variable is whether or not a ...
4
votes
2answers
2k views

What is crisp logic (in the area of classification)?

I have a brief question. I am having trouble finding a good reference that explains what crisp logic is. What I think: I have two classification models, a decision tree and a ruleset, which I ...
2
votes
1answer
282 views

Fuzzy C-means and its stages of clustering

when dealing with soft and hard clustering techniques such as K-means and fuzzy C-means I run into abit of difficulty on the steps that FCM takes to calculate the clusters. For instance in K-means ...