Applicability of Ordinal Sums of Conjunctive and Disjunctive Functions in Classification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F21%3A10248253" target="_blank" >RIV/61989100:27510/21:10248253 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.atlantis-press.com/proceedings/ifsa-eusflat-agop-21" target="_blank" >https://www.atlantis-press.com/proceedings/ifsa-eusflat-agop-21</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2991/asum.k.210827.081" target="_blank" >10.2991/asum.k.210827.081</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Applicability of Ordinal Sums of Conjunctive and Disjunctive Functions in Classification

Popis výsledku v původním jazyce

Classification relies on the rules expressed by domain experts, or on the labeled attribute explaining the output classes. However, such information is not always available. In this work, we explore classification according to aggregation functions of mixed behaviour by the variability in ordinal sums of conjunctive and disjunctive functions. By this approach, entities are classified into three classes: yes, no and maybe including inclination to the classes yes and no. By the proposed approach, domain experts (or ordinal users) explain classification linguistically, without stating IF-THEN rules and labeled output. The applicability is illustrated by two examples. The discussion of the results and further research activities conclude the paper.

Název v anglickém jazyce

Applicability of Ordinal Sums of Conjunctive and Disjunctive Functions in Classification

Popis výsledku anglicky

Classification relies on the rules expressed by domain experts, or on the labeled attribute explaining the output classes. However, such information is not always available. In this work, we explore classification according to aggregation functions of mixed behaviour by the variability in ordinal sums of conjunctive and disjunctive functions. By this approach, entities are classified into three classes: yes, no and maybe including inclination to the classes yes and no. By the proposed approach, domain experts (or ordinal users) explain classification linguistically, without stating IF-THEN rules and labeled output. The applicability is illustrated by two examples. The discussion of the results and further research activities conclude the paper.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

Atlantis Studies in Uncertainty Modelling. Volume 3

ISBN

978-94-6239-423-0

ISSN

2589-6644

e-ISSN

—

Počet stran výsledku

6

Strana od-do

602-607

Název nakladatele

Atlantis Press

Místo vydání

Paris

Místo konání akce

Bratislava

Datum konání akce

19. 9. 2021

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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