Multi-Subject Type-2 Linguistic Summaries of Relational Databases

DOI10.1007/978-1-4614-3442-9_9zbMath1437.68047OpenAlexW370767669MaRDI QIDQ3299865

Adam Niewiadomski, Izabela Superson

Publication date: 27 July 2020

Published in: Frontiers of Higher Order Fuzzy Sets (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4614-3442-9_9

zbMATH Keywords

linguistic quantifiershigher-order fuzzy setslinguistic summariesdata summarizationtraditional fuzzy set

Mathematics Subject Classification ID

Database theory (68P15) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Uses Software

• SAINTETIQ
• Summary SQL

Cites Work

• SAINTETIQ: A fuzzy set-based approach to database summarization
• Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by type-2 linguistic quantifiers
• A new approach to the summarization of data
• A computational approach to fuzzy quantifiers in natural languages
• Interval valued fuzzy sets based on normal forms
• Multiobjective programming in optimization of the interval objective function
• LINGUISTIC SUMMARIES OF DATA USING FUZZY LOGIC
• On ordered weighted averaging aggregation operators in multicriteria decisionmaking
• Interpretation of inequality constraints involving interval coefficients and a solution to interval linear programming.
• Cardinality concepts for type-two fuzzy sets
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