A type-2 fuzzy concepts lexicalized representation by perceptual reasoning and linguistic weighted average: A comparative study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099379" target="_blank" >RIV/61989100:27240/16:86099379 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-27221-4_7" target="_blank" >http://dx.doi.org/10.1007/978-3-319-27221-4_7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-27221-4_7" target="_blank" >10.1007/978-3-319-27221-4_7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A type-2 fuzzy concepts lexicalized representation by perceptual reasoning and linguistic weighted average: A comparative study

Popis výsledku v původním jazyce

Concepts lexicalized in natural language are uncertain. Actually, there are cooperation between type-1 fuzzy sets (T-1 FSs) and the psychology of concepts for manipulating knowledge. Our approach shows that concepts can be equalized to interval type-2 fuzzy sets (IT-2 FSs) by using a Computing With Words (CWW) model. CWW is a theory that passes from computing with crisp values or measurements to CWW or concepts. This paper presents a comparative study between the Perceptual Reasoning (PR) and the Linguistic Weighted Average (LWA) and implements them using a mammography database. These two approaches are implemented in the CWW engine of a CWW model; they characterize linguistic uncertainties existing in concepts by using IT-2 FSs. The results obtained demonstrate that the PR approach give results similar to concepts in the code-book. This paper insists on the fact that concepts can be represented by IT-2 FSs in the psychology of concepts. (C) Springer International Publishing Switzerland 2016.

Název v anglickém jazyce

A type-2 fuzzy concepts lexicalized representation by perceptual reasoning and linguistic weighted average: A comparative study

Popis výsledku anglicky

Concepts lexicalized in natural language are uncertain. Actually, there are cooperation between type-1 fuzzy sets (T-1 FSs) and the psychology of concepts for manipulating knowledge. Our approach shows that concepts can be equalized to interval type-2 fuzzy sets (IT-2 FSs) by using a Computing With Words (CWW) model. CWW is a theory that passes from computing with crisp values or measurements to CWW or concepts. This paper presents a comparative study between the Perceptual Reasoning (PR) and the Linguistic Weighted Average (LWA) and implements them using a mammography database. These two approaches are implemented in the CWW engine of a CWW model; they characterize linguistic uncertainties existing in concepts by using IT-2 FSs. The results obtained demonstrate that the PR approach give results similar to concepts in the code-book. This paper insists on the fact that concepts can be represented by IT-2 FSs in the psychology of concepts. (C) Springer International Publishing Switzerland 2016.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Intelligent Systems and Computing. Volume 420

ISBN

978-3-319-27220-7

ISSN

2194-5357

e-ISSN

—

Počet stran výsledku

10

Strana od-do

77-86

Název nakladatele

Springer Verlag

Místo vydání

London

Místo konání akce

Soul

Datum konání akce

16. 11. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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