Fuzzy Natural Logic in IFSA-EUSFLAT 2021

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 Sy...

Popoln opis

Shranjeno v:
Bibliografske podrobnosti
Format: Online
Jezik:angleščina
Izdano: MDPI - Multidisciplinary Digital Publishing Institute 2023
Teme:
Online dostop:ONIX_20230105_9783036561479_62
Oznake: Označite
Brez oznak, prvi označite!
_version_ 1869519809253736448
collection Directory of Open Access Books
description 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.
format Online
id doab-20.500.12854ir-95833
institution Directory of Open Access Books
language eng
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-958332024-03-28T03:32:19Z Fuzzy Natural Logic in IFSA-EUSFLAT 2021 Dvorak, Antonin Novák, Vilém 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 n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science 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. 2023-01-05T12:34:55Z 2023-01-05T12:34:55Z 2022 book ONIX_20230105_9783036561479_62 9783036561479 9783036561486 https://directory.doabooks.org/handle/20.500.12854/95833 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6489 https://mdpi.com/books/pdfview/book/6489 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6148-6 10.3390/books978-3-0365-6148-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036561479 9783036561486 148 Basel open access
spellingShingle 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
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science
Fuzzy Natural Logic in IFSA-EUSFLAT 2021
title Fuzzy Natural Logic in IFSA-EUSFLAT 2021
title_full Fuzzy Natural Logic in IFSA-EUSFLAT 2021
title_fullStr Fuzzy Natural Logic in IFSA-EUSFLAT 2021
title_full_unstemmed Fuzzy Natural Logic in IFSA-EUSFLAT 2021
title_short Fuzzy Natural Logic in IFSA-EUSFLAT 2021
title_sort fuzzy natural logic in ifsa eusflat 2021
topic 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
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science
topic_facet 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
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science
url ONIX_20230105_9783036561479_62