Fuzzy Natural Logic in IFSA-EUSFLAT 2021

• Autore: Dvorak Antonin
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 electronic resource (148 p.)
• Soggetto topico: Research & information: general; Mathematics & science
• Soggetto non controllato: fuzzy Peterson's syllogisms; fuzzy intermediate quantifiers; graded Peterson's cube of opposition; linguistic universals; linguistic complexity; evaluative expressions; fuzzy grammar; linguistic gradience; linguistic constraints; grammaticality; sentiment analysis; closeness; closeness matrix; closeness space; function similarity; fuzzy partition; fuzzy transform; preimage problem; singular value decomposition; evolving fuzzy neural network; or-neuron; auction fraud; knowledge extraction
• Persona (resp. second.): NovákVilém; DvorakAntonin
• Sommario/riassunto: The present book contains five papers accepted and published in the Special Issue, “Fuzzy Natural Logic in IFSA-EUSFLAT 2021”, of the journal Mathematics (MDPI). These papers are extended versions of the contributions presented in the conference “The 19th World Congress of the International Fuzzy Systems Association and the 12th Conference of the European Society for Fuzzy Logic and Technology jointly with the AGOP, IJCRS, and FQAS conferences”, which took place in Bratislava (Slovakia) from September 19 to September 24, 2021. Fuzzy Natural Logic (FNL) is a system of mathematical fuzzy logic theories that enables us to model natural language terms and rules while accounting for their inherent vagueness and allows us to reason and argue using the tools developed in them. FNL includes, among others, the theory of evaluative linguistic expressions (e.g., small, very large, etc.), the theory of fuzzy and intermediate quantifiers (e.g., most, few, many, etc.), and the theory of fuzzy/linguistic IF–THEN rules and logical inference. The papers in this Special Issue use the various aspects and concepts of FNL mentioned above and apply them to a wide range of problems both theoretically and practically oriented. This book will be of interest for researchers working in the areas of fuzzy logic, applied linguistics, generalized quantifiers, and their applications.
• Titolo autorizzato: Fuzzy Natural Logic in IFSA-EUSFLAT 2021
• ISBN: 3-0365-6148-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910674007703321
• Lo trovi qui: Univ. Federico II