Modified Uncertainty Measure of Rough Fuzzy Sets from the Perspective of Fuzzy Distance
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Summary
A modified uncertainty measure based on the fuzziness-based uncertainty measure is introduced and it is presented that this method not only is strictly monotonic with finer approximation spaces, but also can distinguish the two rough approximation spaces with the same uncertainty.
- Type
- article
- Published
- 2018-08-06
- Cited by
- 5
- References
- 33
- Access
- Open access
- OpenAlex
- https://openalex.org/W2886741846
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:55572568
Keywords
Rough set, Mathematics, Measure (data warehouse), Fuzzy logic, Fuzzy set
References
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- The Design of Free Structure Granular Mappings: The Use of the Principle of Justifiable Granularity
- ROUGH FUZZY SETS AND FUZZY ROUGH SETS
- Decision-theoretic rough fuzzy set model and application
- MEASURING UNCERTAINTY IN ROUGH SET THEORY
- Information granulation and rough set approximation
- Entropy, distance measure and similarity measure of fuzzy sets and their relations
- Granular Computing: Perspectives and Challenges
- Knowledge structure, knowledge granulation and knowledge distance in a knowledge base
- Modeling rough granular computing based on approximation spaces
- Fuzzy Granular Structure Distance
- Information entropy, rough entropy and knowledge granulation in incomplete information systems
- A new measure of uncertainty based on knowledge granulation for rough sets
Cited by
- A New Uncertainty Measure of Covering-Based Rough Interval-Valued Intuitionistic Fuzzy Sets
- Probability granular distance-based fuzzy rough set model
- A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets
- Managing Boundary Uncertainty in Diagnosing the Patients of Rural Area Using Fuzzy and Rough Set
- Bias Quantification for Protected Features in Pattern Classification Problems
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