Overlap and grou** functions on complete lattices

J Qiao - Information Sciences, 2021 - Elsevier
Recently, Paiva et al. introduced the concepts of lattice-valued overlap and quasi-overlap
functions, and showed the migrativity, homogeneity and other properties of (quasi-) overlap …

Semi-overlap functions and novel fuzzy reasoning algorithms with applications

X Zhang, M Wang, B Bedregal, M Li, R Liang - Information Sciences, 2022 - Elsevier
In order to get a more general result related on fuzzy implications that induced by
aggregation functions, we relax the definition of general overlap functions, more precisely …

A trilevel analysis of uncertainty measuresin partition-based granular computing

B Wang, J Liang, Y Yao - Artificial Intelligence Review, 2023 - Springer
Uncertainty measure is one of the most significant concepts and fundamental issues in
granular computing. Nowadays, there have been extensive studies on various uncertainty …

Fuzzy convexities via overlap functions

B Pang - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
Overlap functions, as a typical kind of binary aggregation functions, have been widely
investigated from both of theoretical and applied viewpoints. In this article, we will continue …

On (O, G)-fuzzy rough sets based on overlap and grou** functions over complete lattices

H Jiang, BQ Hu - International Journal of Approximate Reasoning, 2022 - Elsevier
In rough set theory, upper and lower approximation operators are two crucial concepts. The
study of these two approximation operators in the framework of lattice theory is an important …

On (IO, O)-fuzzy rough sets based on overlap functions

J Qiao - International Journal of Approximate Reasoning, 2021 - Elsevier
In the last past years, as a class of continuous binary aggregation functions, there are many
scholars kee** a watchful focus on overlap functions for their widely applicability in …

A hybrid multi-objective algorithm based on slime mould algorithm and sine cosine algorithm for overlap** community detection in social networks

A Heydariyan, FS Gharehchopogh, MRE Dishabi - Cluster Computing, 2024 - Springer
In recent years, extensive studies have been carried out in community detection for social
network analysis because it plays a crucial role in social network systems in today's world …

Multi-constrained embedding for accurate community detection on undirected networks

Q Wang, X Liu, T Shang, Z Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A Symmetric Non-negative Matrix Factorization (SNMF)-based network embedding model
adopts a unique Latent Factor (LF) matrix for describing the symmetry of an undirected …

A novel complex network community detection approach using discrete particle swarm optimization with particle diversity and mutation

X Li, X Wu, S Xu, S Qing, PC Chang - Applied Soft Computing, 2019 - Elsevier
Community detection in complex network is a hot issue in the field of complex network. This
paper proposed a community detection approach in complex network using discrete particle …

Some neighborhood-related fuzzy covering-based rough set models and their applications for decision making

G Qi, B Yang, W Li - Information Sciences, 2023 - Elsevier
Fuzzy rough set (FRS) has a great effect on data mining processes and the fuzzy logical
operators play a key role in the development of FRS theory. In order to generalize the FRS …