[HTML][HTML] Updating approximations with dynamic objects based on local multigranulation rough sets in ordered information systems
The main task of local rough set model is to avoid the interference of complicated calculation
and invalid information in the formation of approximation space. In this paper, we first …
and invalid information in the formation of approximation space. In this paper, we first …
Multigranulation modified rough bipolar soft sets and their applications in decision-making
The classical theory of rough sets (RSs) established by Pawlak, mainly focused on the
approximation of sets characterized by a single equivalence relation (ER) over the universe …
approximation of sets characterized by a single equivalence relation (ER) over the universe …
Multigranulation Rough Set Methods and Applications Based on Neighborhood Dominance Relation in Intuitionistic Fuzzy Datasets
X Zhang, J Hou, J Li - International Journal of Fuzzy Systems, 2022 - Springer
With the redundancy and complexity of information and data, how to acquire the samples
that meet the requirements is an inevitable task in data analysis. There is a general …
that meet the requirements is an inevitable task in data analysis. There is a general …
Generalization and ranking of fuzzy numbers by relative preference relation
Abstract We define 2 n+ 1 2 n+ 1 and 2 n fuzzy numbers, which generalize triangular and
trapezoidal fuzzy numbers, respectively. Then, we extend the fuzzy preference relation and …
trapezoidal fuzzy numbers, respectively. Then, we extend the fuzzy preference relation and …
[PDF][PDF] NEW ROUGH SET BASED MAXIMUM PARTITIONING ATTRIBUTE ALGORITHM FOR CATEGORICAL DATA CLUSTERING
MMJ BAROUD - 2022 - eprints.utm.my
Clustering a set of data into homogeneous groups is a fundamental operation in data
mining. Recently, consideration has been put on categorical data clustering, where the data …
mining. Recently, consideration has been put on categorical data clustering, where the data …