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 …

In this paper, a method is proposed for testing statistical hypotheses about the fuzzy
parameter of the underlying parametric population. In this approach, using definition of fuzzy …

With the availability of inexpensive devices like storage and data sensors, collecting and
storing data is now simpler than ever. Biotechnology, pharmacy, business, online marketing …

В настоящее время методы нечеткой математики широко применяются в различных
прикладных исследованиях. Например, при составлении портфелей, когда для …

Hypothesis tests are a statistical decision-making tool for testing if a hypothesized parameter
value is supported by the sample data or not. Vagueness and impreciseness in the sample …

Intuitionistic fuzzy sets theory, one of the theories used to model uncertainty, is quite
successful in modeling real life uncertainties. Hypothesis testing is one of the essential tools …

The present work is aimed to extend the classical statistical methods based on intuitionistic
fuzzy data to hypothesis test about exact parameter of the underlying population. In this …

In this paper, the classical statistical test based on intuitionistic fuzzy hypotheses in relation
to the underlying population parametric is extended. In this approach, the type-I, type-II …

A new approach for testing statistical hypotheses about variance of population based on
intuitionistic fuzzy sample is introduced. In this approach, we first define variance of …

Under vague and imprecise environment, data analysis methods are usually integrated with
the fuzzy set theory. Intuitionistic methods sets are the extension of ordinary fuzzy sets …