J Gwak, H Garg, N Jan - Alexandria Engineering Journal, 2023 - Elsevier
Data clustering is an instrumental tool in the area of energy management resources, marketing, and business. Clustering helps to increase productivity, facilitate decision …
The aim of this study is to develop new and efficient theories for handling complex and unreliable data in real-world scenarios. The proposed approach integrates two distinct …
Graph theory, a branch of mathematics, studies the relationships between entities using vertices and edges. Uncertain Graph Theory has emerged within this field to model the …
Several liver diseases are collectively termed as liver disorder. Usually the diagnosis of a particular disease is accomplished by considering symptoms as parameters but this is not …
X Ma, Y Han, H Qin, P Wang - International Journal of Computational …, 2023 - Springer
As a generalization of the fuzzy soft set, interval-valued fuzzy soft set is viewed as a more resilient and powerful tool for dealing with uncertain information. However, the lower or …
In this study, firstly, we interpret the level set, support, kernel for bipolar complex fuzzy (BCF) set, bipolar complex characteristic function, and BCF point. Then, we interpret the BCF …
Z Ali - Neutrosophic Systems with Applications, 2024 - sciencesforce.com
In this article, we design an informative and reliable technique of bipolar complex intuitionistic fuzzy soft sets with numerous operational laws by merging the model of soft …
D Sarkar, S Ghosh - Fuzzy Information and Engineering, 2024 - ieeexplore.ieee.org
Similarity measures are crucial for identifying distinctions between various alternatives. It is frequently represented by a number between 0 and 1, where 00 denotes poor similarity …
S Priyadarsini, AV Singh… - Neutrosophic Sets and …, 2023 - digitalrepository.unm.edu
The discovery of soft sets is accredited to Molodtsov. This theory can cope with difficult circumstances with a lot of ambiguity, like those where deciding is hard. The bipolar soft set …