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 …

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 …

For the last decades, research studies have been developed in which a coalition of Fuzzy
Sets Theory and Statistics has been established with different purposes. These namely …

There are two important sources of uncertainty: randomness and fuzziness. Randomness
models the stochastic variability of all possible outcomes of a situation, and fuzziness relates …

A bootstrap approach to the multi-sample test of means for imprecisely valued sample data
is introduced. For this purpose imprecise data are modelled in terms of fuzzy values …

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 …

In quantifying the central tendency of the distribution of a random fuzzy number (or fuzzy
random variable in Puri and Ralescu's sense), the most usual measure is the Aumann-type …

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 …

A fuzzy test for testing statistical hypotheses about an imprecise parameter is proposed for
the case when the available data are also imprecise. The proposed method is based on the …

Concept evaluation is a critical issue in product service system (PSS) development. Due to
the inherent uncertainty in design and the significant difference between products and …