The Pythagorean cubic fuzzy set (PCFS) describes a mixture of interval Pythagorean
information and Pythagorean fuzzy values. Compared to the Pythagorean and interval …

Compared with the complex fuzzy set (CFS) and the intuitionistic fuzzy set (IFS), the complex
intuitionistic fuzzy set (CIFS) can handle the two-dimensional and uncertain information …

The predominant domain for optimization in the current situation is the transportation
problem (TP). In the majority of cases, accurate data have been employed, yet in reality, the …

In this paper, we expose cosine, jaccard and dice similarity measures and rough interval
Pythagorean mean operator. Some of the important properties of the defined similarity …

The purpose of this paper is to present a new method to solve the decision‐making
algorithm based on the cosine similarity and distance measures by utilizing the uncertain …

A numerable number of similarity measures for fuzzy sets, Pythagorean fuzzy sets, soft sets,
fuzzy soft sets, and other extended sets have been proposed in the literature and used in …

Nowadays, cyber-hacking is the serious problems facing in real life from small organizations
to very big organizations. This is a generally new exploration subject and numerous …

The decompositions of soft sets and soft matrices are important tools for theoretical and
practical studies. In this paper, firstly, we study the decomposition of soft sets in detail. Later …

Goal programming (GP) is a well-established optimization methodology used to solve multi-
objective problems. This paper outlines a novel goal programming approach that aims to …

Information Security is a buzz word today. Due to the emergence and recent developments
of quantum computers, there is a possible threat on all present cryptographic methods …