The existing analysis of variance (ANOVA) test cannot be applied when the sample is
selected from the population having come imprecise, fuzzy and uncertain observations. The …

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 …

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 …

Statistical depth functions provide a way to order the elements of a space by their centrality
in a probability distribution. That has been very successful for generalizing non-parametric …

Based on the least-squares method, a new approach is proposed to the problem of
regression modeling of imprecise quantities. In this approach, the available data, of both …

The reliability of the fuzzy scale for assessing the responses of a person in an opinion
questionnaire (which is usually treated as a Likert-type questionnaire) is analyzed. Thus, a …

Empirical trimmed means have been studied in general spaces and, in particular, they have
been applied to the one-dimensional fuzzy case. They provide a competing robust …

The problem of estimation of suspended load carried by a river is an important topic for
many water resources projects. Conventional estimation methods are based on the …

Most of the distances used in case of fuzzy data are based on the well-known Euclidean
distance. In detail, a fuzzy number can be characterized by centers and spreads and the …

In dealing with data generated from a random experiment, L2 metrics are suitable for many
statistical approaches and developments. To analyze fuzzy-valued experimental data a …