Multigranulation Decision-theoretic Rough Set in Ordered Information System
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Summary
This study devotes this study to presenting multigranulation decision-theoretic rough set model in ordered information systems by introducing the basic set assignment function in an ordered information system.
- Type
- article
- Published
- 2015-08-01
- Cited by
- 43
- References
- 46
- OpenAlex
- https://openalex.org/W102936894
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7658939
Keywords
Rough set, Dominance-based rough set approach, Computer science, Set (abstract data type), Information system
References
- Generation of reducts and rules in multi-attribute and multi-criteria classification
- A Multiple-category Classification Approach with Decision-theoretic Rough Sets
- On multigranulation rough sets in incomplete information system
- A Decision Theoretic Framework for Approximating Concepts
- Hierarchical Structures on Multigranulation Spaces
- Rough approximation of a preference relation by dominance relations
- Test cost sensitive multigranulation rough set: Model and minimal cost selection
- Information granules: Towards foundations of granular computing
- Variable Precision Rough Set Model
- Probabilistic approaches to rough sets
- Multiple granulation rough set approach to ordered information systems
- Reasoning with partially ordered information in a possibilistic logic framework
- Attribute reduction in ordered information systems based on evidence theory
- Granular computing, rough entropy and object extraction
- Granular Computing Approach to Two-Way Learning Based on Formal Concept Analysis in Fuzzy Datasets
- ROUGH FUZZY SETS AND FUZZY ROUGH SETS
- Dominance-based rough set approach and knowledge reductions in incomplete ordered information system
- Information granulation and rough set approximation
- An automatic method to determine the number of clusters using decision-theoretic rough set
- Attribute reduction in decision-theoretic rough set models
Cited by
- Double-quantitative decision-theoretic rough set
- Quantitative/qualitative region-change uncertainty/certainty in attribute reduction: Comparative region-change analyses based on granular computing
- Double-quantitative fusion of accuracy and importance: Systematic measure mining, benign integration construction, hierarchical attribute reduction
- Attributes reduction and rules acquisition in an lattice-valued information system with fuzzy decision
- Cost-sensitive rough set approach
- Generalized multigranulation double-quantitative decision-theoretic rough set
- Double-quantitative rough fuzzy set based decisions: A logical operations method
- Attribute reduction in ordered decision tables via evidence theory
- The uncertainty of probabilistic rough sets in multi-granulation spaces
- Efficient updating rough approximations with multi-dimensional variation of ordered data
- A New Aggregation Method-Based Error Analysis for Decision-Theoretic Rough Sets and Its Application in Hesitant Fuzzy Information Systems
- Three-way group decision making based on multigranulation fuzzy decision-theoretic rough set over two universes
- Double-quantitative γ^-fuzzy coverings approximation operators
- Local multigranulation decision-theoretic rough sets
- Further study of multi-granulation fuzzy rough sets
- Cost-sensitive rough set: A multi-granulation approach
- Generalized multigranulation rough sets and optimal granularity selection
- Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature
- Prospección del riesgo operativo de las Mipymes en Colombia
- A weighted multi-granulation decision-theoretic approach to multi-source decision systems
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