Simplicial depths for fuzzy random variables

The recently defined concept of a statistical depth function for fuzzy sets provides a theoretical framework for ordering fuzzy sets with respect to the distribution of a fuzzy random variable. One of the most used and studied statistical depth function for multivariate data is simplicial depth, based on multivariate simplices. We introduce a notion of pseudosimplices generated by fuzzy sets and propose three plausible generalizations of simplicial depth to fuzzy sets. Their theoretical properties are analyzed and the behavior of the proposals illustrated through a study of both synthetic and real data.

READ FULL TEXT
research
06/29/2022

Properties of statistical depth with respect to compact convex random sets. The Tukey depth

We study a statistical data depth with respect to compact convex random ...
research
03/11/2022

Measuring dependencies between variables of a dynamical system using fuzzy affiliations

A statistical, data-driven method is presented that quantifies influence...
research
08/01/2022

An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers

We introduce a distance-based neural network model for regression, in wh...
research
05/12/2021

Two-step method for assessing dissimilarity of random sets

The paper concerns a new statistical method for assessing dissimilarity ...
research
09/06/2019

Generalization of the simplicial depth: no vanishment outside the convex hull of the distribution support

The simplicial depth, like other relevant multivariate statistical data ...
research
07/09/2022

Fuzzy Clustering by Hyperbolic Smoothing

We propose a novel method for building fuzzy clusters of large data sets...
research
11/18/2016

Fuzzy Statistical Matrices for Cell Classification

In this paper, we generalize image (texture) statistical descriptors and...

Please sign up or login with your details

Forgot password? Click here to reset