The fuzzy rough set is one of the most effective methods for dealing with the fuzziness and
uncertainty of data. However, in most cases this model only considers the information …

The concept of dependency in a neighborhood rough set model is an important evaluation
function for the feature selection. This function considers only the classification information …

Neutrosophic sets (NSs) and logic are one of the influential mathematical tools to manage
various uncertainties. Among diverse models for analyzing neutrosophic information, rough …

In recent decades, there has been a massive growth towards the prime interest of the
hydrogen energy industry in automobile transportation fuel. Hydrogen is the most plentiful …

The idea of ambiguous set (AS) theory has been introduced to describe the uncertainties,
imprecisions and haziness innate in information. This study generalizes the notion of AS to a …

Recently, neutrosophic sets are found to be more general and useful to express incomplete,
indeterminate and inconsistent information. The purpose of this paper is to introduce new …

In this paper, we propose two new three-way decision models based on decision-theoretic
rough sets with single-valued neutrosophic information. These two models adopt different …

Among the most classic measures in single valued neutrosophic sets (SVNS) theory, the
distance is an important tool to compare and calculate degree of difference between SVNS …

The purpose of the paper is to study new algebraic operations and fundamental properties
of totally dependent-neutrosophic sets and totally dependent-neutrosophic soft sets. First …

In the age of big data, we often face the huge Volume, high Velocity, rich Variety, accuracy
Veracity and high Value (5Vs) with complicated structures. Big data industrial decision …