The Likert scale (LS) has been widely used to measure latent variables in the social
sciences. Likert scales, with many advantages, exhibit some limitations and disadvantages …

Zadeh introduced the concept of Z-numbers in 2011 to deal with imprecise information. In
this regard, many research works have been published in an attempt to introduce some …

This study develops a seasonal z-number regression (SZR) to forecast the daily generated
amounts of clinical waste for recycling and related waste. The proposed SZR designs new z …

The paper is devoted to the construction of a fuzzy regression model, the input and output
data of which are Z-numbers. The coefficients of the regression model are crisp numbers …

Understanding of buyer behaviour plays a significant role in marketing. Modelling of buyer
behaviour provides an ability to segment the market effectively and develop marketing-mix …

A multidimensional regression model under Z-information with fuzzy coefficients has
developed in the paper. The initial data are Z-numbers, the first and second components of …

The goal of the paper is to develop a regression model under the initial Z-information based
on an alternative method to the least squares method, and free from the assumptions …

The research in this paper introduces Fuzzy Pairing cellular vehicle to everything (C-V2X)
Communication using fixed power at the transmission and optimizing the path between the …

In today's world, r with a huge amount of r growing information and uncertainty we are
facing. Uncertainty in information has different types of ambiguity MNN, probability …

Traffic congestion remains a significant challenge in urban areas, leading to wasted time,
increased pollution, and decreased quality of life. This paper presents an approach to …