The existing analysis of variance (ANOVA) test cannot be applied when the sample is
selected from the population having come imprecise, fuzzy and uncertain observations. The …

The idea of Neutrosophic statistics is utilized for the analysis of the uncertainty observation
data. Neutrosophic multiple regression is one of a vital roles in the analysis of the impact …

Testing one-way analysis of variance (ANOVA) is used for experimental data analysis in
which there is a continuous response variable and a single independent classification …

Metode ANOVA membantu dalam menafsirkan dan menentukan hasil eksperimen bahwa
berbagai faktor mempengaruhi parameter proses lainnya (Ostertagová & Ostertag, 2013) …

This paper deals with extending the one-way analysis of variance (ANOVA) to the case
where the observed data are represented by closed intervals rather than real numbers. In …

Single factor (one-way) analysis of variance (ANOVA) has been very broadly applied in
analyzing experimental data with categorical treatments. Datasets to be analyzed with …

A fuzzification is the conversion of an exact quantity to uncertainty. A more generalized fuzzy
set called intuitionistic fuzzy set is defuzzified to propose its application in career …

This paper deals with analysis of variance with fuzzy data (ANOVAF) based on permutation
method. The permutation method is a nonparametric method introduced by Heap and …

A heuristic statisticalmethod for testing intuitionistic fuzzy hypotheses of onefactor and two
factor ANOVA model using intuitionistic fuzzy data samples is proposed. In this method, the …

The Covid-19 pandemic has accelerated the digital transformation of the industry with the
rapid adoption of digital technologies and created a digital economy. As a consequence of …