On efficient factorization of standard fuzzy concept lattices and attribute-oriented fuzzy concept lattices

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F18%3A73588397" target="_blank" >RIV/61989592:15310/18:73588397 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0165011418300356" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0165011418300356</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.fss.2018.01.012" target="_blank" >10.1016/j.fss.2018.01.012</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On efficient factorization of standard fuzzy concept lattices and attribute-oriented fuzzy concept lattices

Popis výsledku v původním jazyce

We propose two ways to make factorization of attribute-oriented fuzzy concept lattices recently studied by Ciobanu &amp; Vaideanu more efficient. Firstly, we show that the blocks of the corresponding factor lattice are determined by a particular fuzzy interior operator. This allows us to compute an attribute-oriented fuzzy concept lattice by intents. Such a computation requires fewer traversals through data, as the number of the attributes is usually smaller than the number of objects. Secondly, we scale the input data in such a way that the factor lattice can be computed as a one-sided fuzzy-crisp concept lattice. Our experiments indicate that both methods lead to a significant improvement in efficiency of computation of the factor lattice. In addition, we improve and extend the theory provided by Ciobanu &amp; Vaideanu.

Název v anglickém jazyce

On efficient factorization of standard fuzzy concept lattices and attribute-oriented fuzzy concept lattices

Popis výsledku anglicky

We propose two ways to make factorization of attribute-oriented fuzzy concept lattices recently studied by Ciobanu &amp; Vaideanu more efficient. Firstly, we show that the blocks of the corresponding factor lattice are determined by a particular fuzzy interior operator. This allows us to compute an attribute-oriented fuzzy concept lattice by intents. Such a computation requires fewer traversals through data, as the number of the attributes is usually smaller than the number of objects. Secondly, we scale the input data in such a way that the factor lattice can be computed as a one-sided fuzzy-crisp concept lattice. Our experiments indicate that both methods lead to a significant improvement in efficiency of computation of the factor lattice. In addition, we improve and extend the theory provided by Ciobanu &amp; Vaideanu.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA15-17899S" target="_blank" >GA15-17899S: Rozklady matic s booleovskými a ordinálními daty: teorie a algoritmy</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

FUZZY SETS AND SYSTEMS

ISSN

0165-0114

e-ISSN

—

Svazek periodika

351

Číslo periodika v rámci svazku

NOV

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

14

Strana od-do

108-121

Kód UT WoS článku

000445213600005

EID výsledku v databázi Scopus

2-s2.0-85041139297