Relational Data, Formal Concept Analysis, and Graded Attributes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F08%3A00005453" target="_blank" >RIV/61989592:15310/08:00005453 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Relational Data, Formal Concept Analysis, and Graded Attributes

Popis výsledku v původním jazyce

Formal concept analysis is a particular method of analysis of relational data. In addition to tools for data analysis, formal concept analysis provides elaborated mathematical foundations for relational data. In the course of the last decade, several attempts appeared to extend formal concept analysis to data with graded (fuzzy) attributes. Among these attempts, an approach based on residuated implications plays an important role. This chapter presents an overview of foundations of formal concept analysis of data with graded attributes, with focus on the approach based on residuated implications, on its extensions and particular cases. Presented is an overview of both of the main parts of formal concept analysis, namely, concept lattices and attributeimplications, and an overview of the underlying foundations and related methods. In addition to that, the chapter contains an overview of topics for future research.

Název v anglickém jazyce

Relational Data, Formal Concept Analysis, and Graded Attributes

Popis výsledku anglicky

Formal concept analysis is a particular method of analysis of relational data. In addition to tools for data analysis, formal concept analysis provides elaborated mathematical foundations for relational data. In the course of the last decade, several attempts appeared to extend formal concept analysis to data with graded (fuzzy) attributes. Among these attempts, an approach based on residuated implications plays an important role. This chapter presents an overview of foundations of formal concept analysis of data with graded attributes, with focus on the approach based on residuated implications, on its extensions and particular cases. Presented is an overview of both of the main parts of formal concept analysis, namely, concept lattices and attributeimplications, and an overview of the underlying foundations and related methods. In addition to that, the chapter contains an overview of topics for future research.

Druh

C - Kapitola v odborné knize

CEP obor

BD - Teorie informace

OECD FORD obor

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Projekt

<a href="/cs/project/1ET101370417" target="_blank" >1ET101370417: Hierarchická analýza složitých dat</a><br>

Návaznosti

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

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Handbook of Research on Fuzzy Information Processing in Databases

ISBN

978-1-59904-853-6

Počet stran výsledku

28

Strana od-do

462-489

Počet stran knihy

850

Název nakladatele

IGI Global, USA

Místo vydání

Hershey (PA)

Kód UT WoS kapitoly

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