Nowadays, health-care waste management is a challenging issue for both the public and
government sectors because it contains infectious, radioactive, or hazardous waste …

Supplier selection and evaluation is a crucial decision-making issue to establish an effective
supply chain. Higher-order fuzzy decision-making methods have become powerful tools to …

The development of information measures associated with fuzzy and intuitionistic fuzzy sets
is an important research area from the past few decades. Divergence and entropy are two …

The q‐rung orthopair fuzzy set (qROPFS), proposed by Yager, is a more effective and
proficient tool to represent uncertain or vague information in real‐life situations. Divergence …

In recent years, different higher order fuzzy sets have been introduced to better handle the
uncertainty in many practical decision making and data mining problems. The recent …

In this paper, we develop a new and flexible method for Pythagorean fuzzy decision‐making
using some trigonometric similarity measures. We first introduce two new generalized …

The neutrosophic set model is an important tool for dealing with real scientific and
engineering applications because it can handle not only incomplete information but also the …

Background: The notion of fuzzy set was introduced by Zadeh. After that, many researchers
extended the concept of fuzzy sets in different ways. Atanassov introduced the concept of …

Abstract The 2-dimension linguistic variables (2-DLVs) add a subjective evaluation on the
reliability of the evaluation results provided by decision makers, so 2-DLVs are very useful …

Abstract Mathematics has evolved to study vague phenomena that do not show statistical
stability. Intuitionistic fuzzy sets best represent these vague phenomena, and admit set …