Attribute reduction in ordered decision tables via evidence theory
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Summary
Belief and plausibility functions, which are strongly connected with lower and upper approximation operators in dominance-based rough set approach, are proposed to define relative belief/plausibility reducts of ordered decision tables.
- Type
- article
- Published
- 2016-10-10
- Cited by
- 58
- References
- 59
- OpenAlex
- https://openalex.org/W2395003977
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:34637333
Keywords
Reduct, Rough set, Decision table, Dominance-based rough set approach, Reduction (mathematics)
References
- Multigranulation Decision-theoretic Rough Set in Ordered Information System
- The Rough Sets Theory and Evidence Theory
- On Some Mathematical Structures of T-Fuzzy Rough Set Algebras in Infinite Universes of Discourse
- Rough Sets
- Statistical Comparisons of Classifiers over Multiple Data Sets
- Knowledge Reduction in Random Incomplete Decision Tables via Evidence Theory
- From the Rough Set Theory to the Evidence Theory
- Dominance-based rough set approach for group decisions
- A NON-NUMERIC APPROACH TO UNCERTAIN REASONING
- Reducts and constructs in classic and dominance-based rough sets approach
- Rank Entropy-Based Decision Trees for Monotonic Classification
- Classification systems based on rough sets under the belief function framework
- Knowledge reduction in random information systems via Dempster-Shafer theory of evidence
- Data Mining Using Extensions of the Rough Set Model
- Incremental update of approximations in dominance-based rough sets approach under the variation of attribute values
- An efficient accelerator for attribute reduction from incomplete data in rough set framework
- A unified approach to reducts in dominance-based rough set approach
- Aggregation distance measure and its induced similarity measure between intuitionistic fuzzy sets
- Attribute reduction in ordered information systems based on evidence theory
- Interpretation of Belief Functions in The Theory of Rough Sets
Cited by
- Attribute reduction in inconsistent formal decision contexts based on congruence relations
- Dominance-based rough fuzzy set approach and its application to rule induction
- On two novel types of three-way decisions in three-way decision spaces
- The rough membership functions on four types of covering-based rough sets and their applications
- A fast heuristic attribute reduction approach to ordered decision systems
- An Improved Belief Entropy and Its Application in Decision-Making
- A Weighted Belief Entropy-Based Uncertainty Measure for Multi-Sensor Data Fusion
- A modified belief entropy in Dempster-Shafer framework
- Three-layer granular structures and three-way informational measures of a decision table
- Characterizing reducts in multi-adjoint concept lattices
- Local attribute reductions for decision tables
- An improved belief entropy–based uncertainty management approach for sensor data fusion
- A new two-stage grey evaluation decision-making method for interval grey numbers
- An evidential dynamical model to predict the interference effect of categorization on decision making results
- ADPDF: A Hybrid Attribute Discrimination Method for Psychometric Data With Fuzziness
- Attribute reduction in interval‐valued fuzzy ordered decision tables via evidence theory
- An improvement for combination rule in evidence theory
- Incremental approaches for feature selection from dynamic data with the variation of multiple objects
- Communication between fuzzy information systems using fuzzy covering-based rough sets
- Dominance Lagrange Optimized Rule Generation for Decision Table Evaluation
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