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A Survey of Homogeneous and Heterogeneous Multi-source Information Fusion Based on Rough Set Theory
Multi-source information fusion (MSIF) can be defined as the process of automatically analyzing and synthesizing information and data from multiple...
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Applying Rough Set Theory for Digital Forensics Evidence Analysis
With the growth of digital crime and the pressing need for strategies to counteract these forms of criminal activities, there is an increased...
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Managing Boundary Uncertainty in Diagnosing the Patients of Rural Area Using Fuzzy and Rough Set
People of rural India often suffer from acute health conditions like diarrhea, flu, lung congestion, and anemia, but they are not receiving treatment...
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Approximate Supplement-Based Neighborhood Rough Set Model in Incomplete Hybrid Information Systems
Incomplete hybrid information systems (IHISs) contain hybrid data (e.g., categorical data, numerical data) and incomplete data. With the development...
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Reduction of Binary Attributes: Rough Set Theory Versus Formal Concept Analysis
The paper compares the concepts of reduction of binary attributes in rough set theory (RST) and the reduction of unary attributes or dychotomic...
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Local soft rough approximations and their applications to conflict analysis problems
Local rough sets are an efficient model to analyze large-scale datasets with finite labels because they are an essential development in classical...
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Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction
Neighborhood rough set (NRS) has been successfully applied to attribute reduction for numeric data. Most existing algorithms have a time complexity...
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Maximum relevance minimum redundancy-based feature selection using rough mutual information in adaptive neighborhood rough sets
Feature selection based on neighborhood rough sets (NRSs) has become a popular area of research in data mining. However, the limitation that NRSs...
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Constructing Robust Fuzzy Rough Set Models Based on Three-way Decisions
Fuzzy rough sets are an effective tool for dealing with uncertainty information. The theory of three-way decisions provides a method of...
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Rough Sets International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings
This book constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2022, held in Suzhou, China, in November 2022.
The 28...
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WalkNAR: A neighborhood rough sets-based attribute reduction approach using random walk
Neighborhood rough sets, as an effective tool for processing numerical data, is widely used in many fields, such as data mining, machine learning and...
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A rough-set based approach for the prioritization of software requirements
Software requirements prioritization (SRP) is one of the key activities of the requirements elicitation process in which several decision makers are...
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Event prediction with rough-fuzzy sets
This article proposes a new methodology of unsupervised event prediction from videos. Detecting events from videos without prior information is a...
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Fuzzy rough digraph based on strength of connectedness with application
Rough digraph is an effective tool for dealing with uncertain data and has been widely used in network analysis. At present, a rough digraph...
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Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection
In this article, we study the problem of feature selection under weak supervision, focusing in particular on the fuzzy labels setting, where the weak...
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Fuzzy Rough Set Decision Algorithms
Decision rules are a powerful tool for the management of information from a relational database, allowing the extraction of conclusions. A decision...
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Comparing Hexagons of Opposition in Probabilistic Rough Set Theory
A hexagon of opposition built from a probabilistic rough set depends on two thresholds. This work explores the relations of opposition among vertices...
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COVID-19 drug repurposing model based on pigeon-inspired optimizer and rough sets theory
Discovering the most effective anti-SARS-CoV-2 drugs is the optimal solution to get back to a normal life without COVID-19. Drug repurposing, also...
