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 …

Trends in Fuzzy Statistics 1 Introduction Page 1 AUSTRIAN JOURNAL OF STATISTICS Volume
32 (2003), Number 3, 239-257 Trends in Fuzzy Statistics S. Mahmoud Taheri Isfahan University …

In this paper we will consider hypothesis-tests for the (fuzzy-valued) mean value of a fuzzy
random variable in a population. For this purpose, we will make use of a generalized metric …

In this paper we will consider some two-sample hypothesis tests for means concerning a
fuzzy random variable in two populations. For this purpose, we will make use of a …

The ultimate goal of this paper is to determine a measure of the degree of dependence
between two interval-valued random sets, when the dependence is intended in the sense of …

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 …

Likert scales or associated codings are often used in connection with opinions/valuations/
ratings, and especially with questionnaires with a pre-specified response format. A guideline …

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 we introduce a parameterized real-valued measure of the mean dispersion of a
fuzzy random variable with respect to an arbitrary fuzzy number. This measure extends the …