Use of Generalized One-sided FCA Approach for Joining of Simple Object-attribute Models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F13%3A33145906" target="_blank" >RIV/61989592:15310/13:33145906 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/SACI.2013.6608992" target="_blank" >http://dx.doi.org/10.1109/SACI.2013.6608992</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SACI.2013.6608992" target="_blank" >10.1109/SACI.2013.6608992</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Use of Generalized One-sided FCA Approach for Joining of Simple Object-attribute Models

Popis výsledku v původním jazyce

In this paper we describe the possibility for usage of generalized version of one-sided (fuzzy) concept lattices, which represents analytical method from the area of Formal Concept Analysis (FCA), for joining of several simple objectattribute models. Themain advantage of the algorithm for (so-called) Generalized One-sided Concept Lattices (GOSCL) is its possibility or ability to work with various attributes types. Sometimes, the analyst needs to join some object-attribute models into one comprehensivestructure, he/she is able to do it using generalized FCA approach in two basic ways, which are described within the paper. Both approaches provides isomorphic outputs, but provision of information can be different due to usage of generalized attributes,what leads to benefits like better interpretation and understanding of output models and data.

Název v anglickém jazyce

Use of Generalized One-sided FCA Approach for Joining of Simple Object-attribute Models

Popis výsledku anglicky

In this paper we describe the possibility for usage of generalized version of one-sided (fuzzy) concept lattices, which represents analytical method from the area of Formal Concept Analysis (FCA), for joining of several simple objectattribute models. Themain advantage of the algorithm for (so-called) Generalized One-sided Concept Lattices (GOSCL) is its possibility or ability to work with various attributes types. Sometimes, the analyst needs to join some object-attribute models into one comprehensivestructure, he/she is able to do it using generalized FCA approach in two basic ways, which are described within the paper. Both approaches provides isomorphic outputs, but provision of information can be different due to usage of generalized attributes,what leads to benefits like better interpretation and understanding of output models and data.

Druh

D - Stať ve sborníku

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Applied Computational Intelligence and Informatics (SACI)

ISBN

978-1-4673-6397-6

ISSN

—

e-ISSN

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Počet stran výsledku

6

Strana od-do

331-336

Název nakladatele

IEEE Computer Society Press

Místo vydání

New York

Místo konání akce

Timisoara

Datum konání akce

23. 5. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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