In information processing tasks, sets may have a conjunctive or a disjunctive reading. In the
conjunctive reading, a set represents an object of interest and its elements are subparts of …

In statistical inference hypotheses related to different kinds of phenomena are formulated,
and then data are collected and analyzed, which either confirm or falsify these hypotheses …

The existing Bartlett's test and Hartley's test under classical statistics can be applied only
when all observations in the sample are determined, precise and determinate. In some …

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 …

Crop insurance is similar to flood and hurricane insurance in that spatially correlated
weather tends to cause violations of the independence assumption. Ideally, one would seek …

Background: The fuzzy rating scale was introduced to cope with the imprecision of human
thought and experience in measuring attitudes in many fields of Psychology. The flexibility …

In this paper, a new methodology for simulating bootstrap samples of fuzzy numbers is
proposed. Unlike the classical bootstrap, it allows enriching a resampling scheme with …

This work focuses on robust clustering of data affected by imprecision. The imprecision is
managed in terms of fuzzy sets. The clustering process is based on the fuzzy and …

Data obtained in association with many real-life random experiments from different fields
cannot be perfectly/exactly quantified. Often the underlying imprecision can be suitably …