INTERPOLATIVITY OF ``AT LEAST--AT MOST'' MODELS OF MONOTONE FUZZY RULE BASES: MULTIPLE-INPUT CASE

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

INTERPOLATIVITY OF ``AT LEAST--AT MOST'' MODELS OF MONOTONE FUZZY RULE BASES: MULTIPLE-INPUT CASE

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, a system based on a monotone fuzzy rule base need not be monotonic and interpolative simultaneously. Recently, v{S}tv{e}pniv{c}ka and De Baets have investigated and shown the co-existence of the above two properties in the case of a fuzzy relational inference systems and the single-input-single-output (SISO) rule bases. An extension of these results to the multiple-input-single-output (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--AT MOST'' MODELS OF MONOTONE FUZZY RULE BASES: MULTIPLE-INPUT CASE

Popis výsledku anglicky

Among the many desirable properties of fuzzy inference systems not all of them are known to co-exist. For instance, a system based on a monotone fuzzy rule base need not be monotonic and interpolative simultaneously. Recently, v{S}tv{e}pniv{c}ka and De Baets have investigated and shown the co-existence of the above two properties in the case of a fuzzy relational inference systems and the single-input-single-output (SISO) rule bases. An extension of these results to the multiple-input-single-output (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

D - Stať ve sborníku

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

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Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Uncertainty Modeling in Knowledge Engineering and Decision Making - Proc. of the 10th International FLINS Conference

ISBN

978-981-4417-73-0

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

598-607

Název nakladatele

World Scientific

Místo vydání

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Místo konání akce

Istanbul

Datum konání akce

1. 1. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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