The tag has no usage guidance.

learn more… | top users | synonyms

0
votes
0answers
9 views

Why do we need to normalize data into interval [0,1] in subtractive clustering? How about Z-score?

I read that we need to normalize data into interval [0,1] in subtractive clustering. Is there any difference if we standardize data into Z-score or other interval instead of normalize it into [0,1]?
0
votes
0answers
12 views

How to match two fuzzy membership functions with max-min?

I have two triangular membership functions, let's say A=[0.2,0.5,07] and B=[0.4,0.6,0.8] with the same universe X=[0:0.01:1]. Can someone show me numerically how to calculate the matching function ...
1
vote
0answers
37 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
27 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
0answers
2 views

Developing a fuzzy algorithm for the following scenario

I am dealing with a dataset that contains a lot information about a customer. The goal is to identify individuals who are most likely to buy Toyota Rav4 2016 Hybrid. Currently the organization is ...
0
votes
1answer
32 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 ...
0
votes
0answers
20 views

Differences and similarity between fuzzy sets and kernel functions

The concept of fuzzy membership function and kernels seems to be similar. Fuzzy however has a more elaborate theory of logic. It seems that kernels and fuzzy membership are used in different ...
0
votes
0answers
80 views

Output's probabilities of ANFIS in MATLAB

Is anyway to have output probabilities of binary classification using MATLAB ANFIS toolbox (or other related toolboxes)? Outputs are 1 and 0. So if we have 0.7 for ...
0
votes
0answers
32 views

Fuzzy Clusterization and rule etraction

I am trying to do Fuzzy Clusterization and fuzzy rule generation from weather data of different cities worldwide. The goal is cities to be clusterized by the type of climate they have ( tropical, ...
0
votes
1answer
36 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 ...
1
vote
1answer
399 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
vote
1answer
141 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
vote
0answers
80 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
95 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 ...
1
vote
0answers
133 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 ...
1
vote
2answers
83 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
vote
1answer
150 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 ...
4
votes
3answers
3k 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
votes
0answers
37 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 ...
2
votes
1answer
84 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 in order to represent uncertainties in model parameters instead of probability distributions? To motivate my question - ...
0
votes
1answer
117 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
482 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 ...
3
votes
1answer
286 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
votes
0answers
48 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 ...
4
votes
2answers
74 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? ...
1
vote
0answers
54 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
144 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
418 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
90 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
3answers
3k 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
492 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 ...