A generalized \(L^1\)-type metric between fuzzy numbers for an approach to central tendency of fuzzy data
DOI10.1016/j.ins.2013.03.063zbMath1322.62186OpenAlexW2037964085MaRDI QIDQ497233
Sara de la Rosa de Sáa, Beatriz Sinova, María Ángeles Gil Álvarez
Publication date: 23 September 2015
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2013.03.063
fuzzy numbersrandom fuzzy numbers\(L^1\) distancecharacterization of a fuzzy numbermean distance minimization
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Fuzzy topology (54A40) Multivariate analysis and fuzziness (62H86)
Related Items (14)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Fuzzy data treated as functional data: a one-way ANOVA test approach
- \(K\)-sample tests for equality of variances of random fuzzy sets
- Fuzzy least-absolutes regression using shape preserving operations
- Interval arithmetic-based simple linear regression between interval data: Discussion and sensitivity analysis on the choice of the metric
- Least squares fitting of an affine function and strength of association for interval-valued data
- A new family of metrics for compact, convex (fuzzy) sets based on a generalized concept of mid and spread
- Bootstrap techniques and fuzzy random variables: synergy in hypothesis testing with fuzzy data
- A weighted fuzzy \(C\)-means clustering model for fuzzy data
- A linear regression model for imprecise response
- Bootstrap approach to the multi-sample test of means with imprecise data
- Testing linear independence in linear models with interval-valued data
- The concept of a linguistic variable and its application to approximate reasoning. III
- On a class of fuzzy \(c\)-numbers clustering procedures for fuzzy data
- Fuzzy numbers are the only fuzzy sets that keep invertible operations invertible
- On embedding problems of fuzzy number spaces. IV
- The median of a random fuzzy number. The 1-norm distance approach
- Limit theorems for fuzzy random variables
- Fuzzy random variables
- On the formalization of fuzzy random variables
This page was built for publication: A generalized \(L^1\)-type metric between fuzzy numbers for an approach to central tendency of fuzzy data