Overview on the development of fuzzy random variables
This paper presents a backward analysis on the interpretation, modelling and impact of the
concept of fuzzy random variable. After some preliminaries, the situations modelled by …
concept of fuzzy random variable. After some preliminaries, the situations modelled by …
Fuzzy data treated as functional data: A one-way ANOVA test approach
The use of the fuzzy scale of measurement to describe an important number of observations
from real-life attributes or variables is first explored. In contrast to other well-known scales …
from real-life attributes or variables is first explored. In contrast to other well-known scales …
Fuzzy rating scale-based questionnaires and their statistical analysis
SR de Sáa, MÁ Gil… - … on Fuzzy Systems, 2014 - ieeexplore.ieee.org
The fuzzy rating method has been introduced in psychometric studies as a tool, which allows
the capture of and accurate reflection of the diversity, subjectivity, and imprecision inherent …
the capture of and accurate reflection of the diversity, subjectivity, and imprecision inherent …
Fuzzy sets in data analysis: From statistical foundations to machine learning
Basic ideas and formal concepts from fuzzy sets and fuzzy logic have been used
successfully in various branches of science and engineering. This paper elaborates on the …
successfully in various branches of science and engineering. This paper elaborates on the …
Descriptive analysis of responses to items in questionnaires. Why not using a fuzzy rating scale?
MA Lubiano, SR de Sáa, M Montenegro, B Sinova… - Information …, 2016 - Elsevier
In evaluating aspects like quality perception, satisfaction or attitude which are intrinsically
imprecise, the fuzzy rating scale has been introduced as a psychometric tool that allows …
imprecise, the fuzzy rating scale has been introduced as a psychometric tool that allows …
A linear regression model for imprecise response
MB Ferraro, R Coppi, GG Rodríguez… - International Journal of …, 2010 - Elsevier
A linear regression model with imprecise response and p real explanatory variables is
analyzed. The imprecision of the response variable is functionally described by means of …
analyzed. The imprecision of the response variable is functionally described by means of …
[HTML][HTML] A distance-based statistical analysis of fuzzy number-valued data
A Blanco-Fernandez, MR Casals, A Colubi… - International Journal of …, 2014 - Elsevier
Real-life data associated with experimental outcomes are not always real-valued. In
particular, opinions, perceptions, ratings, etc., are often assumed to be vague in nature …
particular, opinions, perceptions, ratings, etc., are often assumed to be vague in nature …
On the variance of random fuzzy variables
R Körner, W Näther - Statistical modeling, analysis and management of …, 2002 - Springer
On the variance of random fuzzy variables Page 1 On the variance of random fuzzy variables
Ralf Korner and Wolfgang Niither Faculty of Mathematics and Computer Sciences, Freiberg …
Ralf Korner and Wolfgang Niither Faculty of Mathematics and Computer Sciences, Freiberg …
Hypothesis testing for means in connection with fuzzy rating scale-based data: algorithms and applications
MA Lubiano, M Montenegro, B Sinova… - European Journal of …, 2016 - Elsevier
The fuzzy rating scale was introduced as a tool to measure intrinsically ill-
defined/imprecisely-valued attributes in a free way. Thus, users do not have to choose a …
defined/imprecisely-valued attributes in a free way. Thus, users do not have to choose a …
Statistical inference about the means of fuzzy random variables: Applications to the analysis of fuzzy-and real-valued data
A Colubi - Fuzzy sets and systems, 2009 - Elsevier
The expected value of a fuzzy random variable plays an important role as central summary
measure, and for this reason, in the last years valuable statistical inferences about the …
measure, and for this reason, in the last years valuable statistical inferences about the …