Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …

During the past decades, significant efforts have been dedicated to develop reliable
methods in structural health monitoring. The health assessment for the target structure of …

In this paper, we propose Fermatean fuzzy sets. We compare Fermatean fuzzy sets with
Pythagorean fuzzy sets and intuitionistic fuzzy sets. We focus on complement operator of …

We note that orthopair fuzzy subsets are such that that their membership grades are pairs of
values, from the unit interval, one indicating the degree of support for membership in the …

Recently, a new model based on Pythagorean fuzzy set (PFS) has been presented to
manage the uncertainty in real‐world decision‐making problems. PFS has much stronger …

We first look at some nonstandard fuzzy sets, intuitionistic, and interval-valued fuzzy sets.
We note both these allow a degree of commitment of less then one in assigning …

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 …

Since its inception, the theory of fuzzy sets has advanced in a variety of ways and in many
disciplines. Applications of fuzzy technology can be found in artificial intelligence, computer …