Hypothesis testing for means in connection with fuzzy rating scale-based data: algorithms and applications

摘要

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 value from a class of prefixed ones (like it happens when a fuzzy semantic representation of a linguistic term set is considered), but just to draw the fuzzy number that better represents their valuation or measurement. The freedom inherent to the fuzzy rating scale process allows users to collect data with a high level of richness, accuracy, expressiveness, diversity and subjectivity, what is especially valuable for statistical purposes.