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8 views

fuzzy membership for likert scale

I would like to know how to measure fuzzy membership from likert scale data. Suppose I have 4 parameters, Strongly disagree, disagree, agree and strongly agree. the maximum value is 1 and minimum is ...
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0answers
15 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
10 views

How classify output of a composite indicator using fuzzy concepts?

Suppose that we created a composite indicator to compare a company branches performance in a country. This company has 5 current levels for performance. This is histogram of composite indicator output ...
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1answer
57 views

Multiple correspondence analysis with fuzzy coding

I have a data set with six continuous variables. I would like to perform a multiple correspondence analysis (MCA) with fuzzy coding. I was able to create the fuzzy coding, so for each original ...
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0answers
28 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
25 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
42 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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0answers
18 views

Fuzzy Business Matching

Does anyone have any input on the best way to solve the following. Let's say that I'm trying to build a local places matcher. By this I mean that I want to see if two business are the same given ...
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0answers
23 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 ...
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0answers
56 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, ...
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1answer
47 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 ...
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0answers
3 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 ...
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1answer
46 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 ...
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0answers
31 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 ...
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0answers
132 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 ...
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0answers
74 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, ...
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1answer
41 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 ...
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1answer
1k 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 ...
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1answer
193 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 ...
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0answers
99 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 ...
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1answer
111 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 ...
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2answers
90 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 ...
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1answer
190 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 ...
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5answers
4k 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
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0answers
48 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 ...
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1answer
92 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 - ...
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1answer
119 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 ...
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0answers
634 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 ...
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1answer
817 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 ...
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0answers
56 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 ...
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2answers
93 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? ...
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0answers
57 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
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1answer
148 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
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1answer
452 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 ...
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1answer
93 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 ...
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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 ...
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1answer
650 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 ...
4
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3answers
770 views

Fuzzy textbooks

From what you have read or heard about, which is a good book on fuzzy logic/sets/systems? I'm interested in basic of fuzzy systems, fuzzification/defuzzification, etc.