An algorithm for Intermediate Quantifiers and the Graded Square of Opposition Towards Linguistic Description of Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F18%3AA1901L2F" target="_blank" >RIV/61988987:17610/18:A1901L2F - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-66824-6_52" target="_blank" >http://dx.doi.org/10.1007/978-3-319-66824-6_52</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-66824-6_52" target="_blank" >10.1007/978-3-319-66824-6_52</a>
Alternative languages
Result language
angličtina
Original language name
An algorithm for Intermediate Quantifiers and the Graded Square of Opposition Towards Linguistic Description of Data
Original language description
The aim of this paper is to apply main theories of fuzzy natural logic together with fuzzy GUHA method for a linguistic characterization of relationships in data. Namely, we utilize the theoryof intermediate quantifiers, which provides mathematical interpretation of natural languageexpressions describing quantity such as ``Almost all'', ``Few'' etc., to describe relationshipsin data using vague terms that are natural in human expression. We provide an algorithm for computation of truth degrees of expressions containing such quantifiers. Moreover, we discuss somebasic properties of intermediate quantifiers (contraries, contradictories, sub-contraries andsub-alterns), which formulate the graded Peterson's square of opposition, and which can be used toinfer new expressions from existing ones.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10101 - Pure mathematics
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Fuzzy Logic and Technology 2017
ISBN
978-3-319-66823-9
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
592-603
Publisher name
Springer
Place of publication
Berlín
Event location
Polsko, Warsawa
Event date
Sep 11, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000432807900052