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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 …
functions, and showed the migrativity, homogeneity and other properties of (quasi-) overlap …
Semi-overlap functions and novel fuzzy reasoning algorithms with applications
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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 …
operators play a key role in the development of FRS theory. In order to generalize the FRS …