A complex fuzzy set is a vigorous framework to characterize novel machine learning
algorithms. This set is more suitable and flexible compared to fuzzy sets, intuitionistic fuzzy …

Applications in various fields of neutrosophic soft set theory enhance its appreciation to the
researchers. Although, this uncertain solving tool can accomplish several types of real-life …

In this paper, the authors propose an extended version of Dijkstra'algorithm for finding the
shortest path on a network where the edge weights are characterized by an interval valued …

In this paper, we introduce the idea of Q-complex fuzzy sub-ring (Q-CFSR) and discuss its
various algebraic aspects. We prove that every Q-CFSR generates two Q-fuzzy sub-rings (Q …

Recently, the calculus of concept lattice is extended from unipolar to bipolar fuzzy space for
precise measurement of vagueness in the attributes based on their acceptation and …

This paper is focused on handling complex data sets using the properties of interval-valued
complex fuzzy sets (IVCFSs). We extend the IV-CFS model to include a generalization …

The complex vague soft set (CVSS) model is a hybrid of complex fuzzy sets and soft sets that
have the ability to accurately represent and model two-dimensional information for real-life …

The precise representation and analysis of complex data sets have become an increasingly
important concern in areas such as medical diagnosis, economics, stock market analysis …

In the current year, the precise measurement of uncertainty and fluctuation exists in a
complex fuzzy attributes is addressed as computationally and mathematically expensive …

Kong et al. introduced the concept of normal parameter reduction in fuzzy soft sets.
However, due to entries of fuzzy soft sets belonging to the unit interval [0, 1], it is nearly …