Likert-type scales are commonly used in both academia and industry to capture human
feelings since they are user-friendly, easy-to-develop and easy-to administer. This kind of …

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 …

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 …

Women are underrepresented in growing positions such as those related to STEM field
careers (ie, science, technology, engineering, and mathematics). One of the causes for …

Modeling fuzziness and imprecision in human rating data is a crucial problem in many
research areas, including applied statistics, behavioral, social, and health sciences …

Under the promotion of combined medical and elderly care (CMEC) policies, the market
demand for elder-friendly smart medical products as convenient intelligent healthcare …

This issue means a contribution of a well-known rather young journal from a scientific field
that, sometimes and especially at the beginning of the introduction of fuzzy theory, put it into …

The Aumann-type mean has been shown to possess valuable properties as a measure of
the location or central tendency of fuzzy data associated with a random experiment …

In previous papers, it has been empirically proved that descriptive (summary measures) and
inferential conclusions (in particular, tests about means p-values) with imprecise-valued …

Opinion surveys are widely admitted as a valuable source of information which becomes
complementary to the information extracted from data by machine learning techniques. This …