Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

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.

77 questions
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Difference between Bayes network, neural network, decision tree and Petri nets

What is the difference between neural network, Bayesian network, decision tree and Petri nets, even though they are all graphical models and visually depict cause-effect relationship.
Ria George
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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 what more differences exist between FL and…
a.desantos
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2 answers

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 various neural network and support vector machine…
Skander H.
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3 answers

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.
lmsasu
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6
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1 answer

Creating fuzzy values for binary data

I am doing a logistic regression where my dependent variable is whether or not a person owns a particular product. Among the variables in the model is an indicator of marital status, 1 for married, 0 for not married. This is reliable data taken…
Oliver
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6
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3 answers

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 think are crisp models. Since they say that an instance…
dorien
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6
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2 answers

Fuzzy K-means - Cluster Sizes

I'm trying to do fuzzy k-means clustering on a dataset using the cmeans function (R) . The problem Im facing is that the sizes of clusters are not as I would like them to be. This is done by calculating the cluster to which the observations are…
JEquihua
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In which case does FCM membership converge to 1/K?

I have tested the fuzzy C-means (FCM) algorithm using the R function fanny from the cluster package and I have wrote my own FCM algorithm to have more control on the distance function. The problem is that my final membership function converges many…
sirus
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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 variables is a cualitative one concerning ground…
JEquihua
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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 fuzzy numbers are a more natural way for domain…
lindelof
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5
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1 answer

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. I need to 'match' external categories with this category tree. For example, I'd need to match: lenses color to lens colour. I currently use a fuzzy string…
Graham Slick
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4
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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 create a 'comparator' measure on all their fields.…
mkln
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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 - assume a decision model where the parameters are…
David
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4
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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 effect of treatment on overall survival with…
Andrea
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4
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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? (Considering I only have unlabelled data)
DaTaBomB
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