An Approach Based on Rough Sets to Possibilistic Information

DOI10.1007/978-3-319-08852-5_7zbMath1415.68239OpenAlexW57976913MaRDI QIDQ5227371

Michinori Nakata, Hiroshi Sakai

Publication date: 26 July 2019

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-08852-5_7

zbMATH Keywords

rough setsincomplete informationlower approximationupper approximationpossibilistic informationindiscernibility relation

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

Feature selection and disambiguation in learning from fuzzy labels using rough sets ⋮ Describing Rough Approximations by Indiscernibility Relations in Information Tables with Incomplete Information

Cites Work

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• Generalizing database relational algebra for the treatment of incomplete or uncertain information and vague queries
• Fuzzy sets as a basis for a theory of possibility
• Rough Sets, Coverings and Incomplete Information
• ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
• Lower and Upper Approximations in Data Tables Containing Possibilistic Information
• On Databases with Incomplete Information
• Twofold rough approximations under incomplete information

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