Thresholds and shifted attributes in formal concept analysis of data with fuzzy attributes

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F06%3A00002572" target="_blank" >RIV/61989592:15310/06:00002572 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Thresholds and shifted attributes in formal concept analysis of data with fuzzy attributes

Original language description

We focus on two approaches to formal concept analysis (FCA) of data with fuzzy attributes recently proposed in the literature, namely, on the approach via hedges and the approach via thresholds. Both of the approaches present parameterized ways to FCA ofdata with fuzzy attributes. Our paper shows basic relationships between the two of the approaches. Furthermore, we show that the approaches can be combined in a natural way, i.e. we present an approach in which one deals with both thresholds and hedges.We argue that while the approach via thresholds is intuitively appealing, it can be considered a special case of the approach via hedges. An important role in this analysis is played by so-called shifts of fuzzy attributes which appeared earlier in thestudy of factorization of fuzzy concept lattices. In addition to fuzzy concept lattices, we consider the idea of thresholds for the treatment of attribute implications from tables with fuzzy attributes and prove basic results concerning v

Czech name

Prahy a posunuté atributy ve formální konceptuální analýze dat s fuzzy atributy

Czech description

Zaměřujeme se na dva přístupy k formální konceptuální analýze (FCA) dat s fuzzy atributy nedávno uvedené v literatuře, přístup skrze zdůrazňovače pravd. hodnot a přístup skrze prahy.

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BD - Information theory

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2006

Confidentiality

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

Name of the periodical

Lecture Notes in Artificial Intelligence

ISSN

0302-9743

e-ISSN

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Volume of the periodical

4068

Issue of the periodical within the volume

N

Country of publishing house

DE - GERMANY

Number of pages

14

Pages from-to

117-130

UT code for WoS article

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EID of the result in the Scopus database

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