The tag has no wiki summary.

learn more… | top users | synonyms

2
votes
0answers
11 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
43 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
votes
0answers
18 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
votes
0answers
24 views

Fuzzy Neural Network Implementation

Is it possible to implement the Takagi-Sugeno (T-S) fuzzy model using PyBrain ?
1
vote
0answers
129 views

Difference between bayesian belief network, fuzzy neural network and fuzzy cognitive map

What is the difference between bayesian belief networks, fuzzy neural networks and fuzzy cognitive maps (FCM)? A fuzzy cognitive map is a combination of fuzzy logic and neural network, used to model ...
0
votes
1answer
73 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 ...
1
vote
0answers
81 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
vote
0answers
113 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 ...
1
vote
0answers
34 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
vote
0answers
25 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
104 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
273 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
77 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
1k 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
208 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 ...