Interval complex neutrosophic soft sets (I-CNSSs) refers to interval neutrosophic soft sets (I-
NSSs) featuring three two-dimensional independent membership functions accordingly …

In linear registration, a floating image is spatially aligned with a reference image after
performing a series of linear metric transformations. Additionally, linear registration is mainly …

The Pythagorean fuzzy soft set (PFSS) is the most proficient and manipulative leeway of the
Pythagorean fuzzy set (PFS), which contracts with parameterized values of the alternatives …

The chapter proposed an extended evaluation based on the distance from average solution
(EDAS) method based on single-valued trapezoidal neutrosophic numbers (SVTraNNs) for …

Similarity measures (SM) and correlation coefficients (CC) are used to solve many problems.
These problems include vague and imprecise information, excluding the inability to deal …

Multiploar information plays a vital role in making reliable decisions in one's daily life
encompassing micro-to large-scale decisions. These decision-making problems often …

Background In the process of medical diagnosis, a large amount of uncertain and
inconsistent information is inevitably involved. There have been many fruitful results were …

Bipolar soft rough set represents an important mathematical model to deal with uncertainty.
This theory represents a link between bipolar soft set and rough set theories. This study …

The demand for halal products in the Islamic context continues to be high, requiring
adherence to halal and haram laws in consuming food and beverages. However, individuals …

The quadripartitioned single-valued neutrosophic set (QSVNS) is developed to understand
the concept of indeterminacy more clearly. It takes care of the diverse approaches while …