A unified framework for characterizing rough sets with evidence theory in various approximation spaces
From MaRDI portal
Publication:2195300
DOI10.1016/j.ins.2018.04.073zbMath1440.68300OpenAlexW2800399611MaRDI QIDQ2195300
Yuzhi Tao, Wei-Zhi Wu, Anhui Tan
Publication date: 8 September 2020
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2018.04.073
Related Items
Relationships between two pairs of covering approximation operators and belief structures, Relationships between relation-based rough sets and belief structures, Information structures in a fuzzy set-valued information system based on granular computing, Rough sets based on Galois connections, GLRM: logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy, Belief functions and rough sets: survey and new insights
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Pessimistic rough set based decisions: a multigranulation fusion strategy
- Two Bayesian approaches to rough sets
- The reduction and fusion of fuzzy covering systems based on the evidence theory
- Classification systems based on rough sets under the belief function framework
- Local multigranulation decision-theoretic rough sets
- On the fusion of imprecise uncertainty measures using belief structures
- Covering based rough set approximations
- A new measure of uncertainty based on knowledge granulation for rough sets
- On the Dempster-Shafer framework and new combination rules
- Properties of measures of information in evidence and possibility theories
- Interpretations of belief functions in the theory of rough sets
- Formal reasoning in preference-based multiple-source rough set model
- Evidence-theory-based numerical characterization of multigranulation rough sets in incomplete information systems
- An information fusion approach by combining multigranulation rough sets and evidence theory
- Double-quantitative decision-theoretic rough set
- On measurements of covering rough sets based on granules and evidence theory
- Rough set models in multigranulation spaces
- Relational interpretations of neighborhood operators and rough set approximation operators
- NMGRS: neighborhood-based multigranulation rough sets
- MGRS: a multi-granulation rough set
- Three-way cognitive concept learning via multi-granularity
- Multigranulation information fusion: a Dempster-Shafer evidence theory-based clustering ensemble method
- A novel approach to information fusion in multi-source datasets: a granular computing viewpoint
- An automatic method to determine the number of clusters using decision-theoretic rough set
- Evidence-theory-based numerical algorithms of attribute reduction with neighborhood-covering rough sets
- A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets
- On the belief structures and reductions of multigranulation spaces with decisions
- Knowledge reduction in random information systems via Dempster-Shafer theory of evidence
- Connections between rough set theory and Dempster-Shafer theory of evidence
- ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
- Rough sets
- Upper and Lower Probabilities Induced by a Multivalued Mapping
