Interpolativity of at-least and at-most models of monotone fuzzy rule bases with multiple antecedent variables

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F16%3AA17017C6" target="_blank" >RIV/61988987:17610/16:A17017C6 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Interpolativity of at-least and at-most models of monotone fuzzy rule bases with multiple antecedent variables

Popis výsledku v původním jazyce

Among the many desirable properties of fuzzy inference systems not all of them are known to co-exist. For instance, the defuzzified output obtained from a system based on a monotone fuzzy rule base need not be monotonic and interpolative simultaneously. Recently, ˇStˇepniˇcka and De Baets have investigated and shown the co-existence of the above two properties in the case of fuzzy relational inference systems and single-input-single-output (SISO) rule bases. An extension of these results to the multiple-input-singleoutput (MISO) case is not straight-forward owing to the lack of a natural ordering in higher dimensions. In this work, we study the MISO case and show that similar results are available when the monotone rule base is modeled based on at-most and at-least modifiers.

Název v anglickém jazyce

Interpolativity of at-least and at-most models of monotone fuzzy rule bases with multiple antecedent variables

Popis výsledku anglicky

Among the many desirable properties of fuzzy inference systems not all of them are known to co-exist. For instance, the defuzzified output obtained from a system based on a monotone fuzzy rule base need not be monotonic and interpolative simultaneously. Recently, ˇStˇepniˇcka and De Baets have investigated and shown the co-existence of the above two properties in the case of fuzzy relational inference systems and single-input-single-output (SISO) rule bases. An extension of these results to the multiple-input-singleoutput (MISO) case is not straight-forward owing to the lack of a natural ordering in higher dimensions. In this work, we study the MISO case and show that similar results are available when the monotone rule base is modeled based on at-most and at-least modifiers.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BA - Obecná matematika

OECD FORD obor

—

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

FUZZY SET SYST

ISSN

0165-0114

e-ISSN

—

Svazek periodika

297

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

20

Strana od-do

26-45

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—