Background subtraction (BS) is a crucial step in many computer vision systems, as it is first
applied to detect moving objects within a video stream. Many algorithms have been …

We present main characteristics of electre (ELimination Et Choix Traduisant la REalité‐
ELimination and Choice Expressing the REality) family methods, designed for multiple …

The notion of uncertainty is of major importance in machine learning and constitutes a key
element of machine learning methodology. In line with the statistical tradition, uncertainty …

For the first time, the critical problem of selecting the most sustainable strategy for urban
parcel delivery is addressed and solved in this paper. It aims to help not only postal and …

The notion of trigonometric similarity measure (SM) for spherical fuzzy sets (SFSs) has
become very important in solving various problems in pattern recognition and medical …

The clinical diagnosis decision-making process of integrated traditional Chinese medicine
and Western medicine is essentially a type of group decision-making (GDM) problem, which …

Set functions are mappings that assign to subsets of a universal set a real number and
appear in many fields of mathematics (pure and applied) and computer sciences …

Decision makers are often faced with several conflicting alternatives. How do they evaluate
trade-offs when there are more than three criteria? To help people make optimal decisions …

Abstract Majority of the Multiple-Attribute Decision Making (MADM) methods assume that the
criteria are independent of each other, which is not a realistic assumption in many real world …

In this paper, we define the Choquet integral operator for Pythagorean fuzzy aggregation
operators, such as Pythagorean fuzzy Choquet integral average (PFCIA) operator and …