Modelování systému na bázi fuzzy a rough množin.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F08%3A00007270" target="_blank" >RIV/00216275:25410/08:00007270 - 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

System Modelling based on Rough and Rough-Fuzzy Approach

Popis výsledku v původním jazyce

In this paper the modelling of the information , economic and social systems is presented. The models are based on the rough sets theory, and the fuzzy and rough sets theory. These models have represented two real information systems, and a system of aninternal human population migration. The information systems are represented as a table where every column represents an attribute (a variable, a property). This attribute can be measured or may also be supplied by a human expert. To obtain the necessarydata questionnaires were use. To the migration model selected socioeconomic data, indicators, are applied. Economic and demographic indicators that affect size of migration for districts in the Czech Republic are defined. In data pre-processing we focused on different processing of data inputs. It means for all indicators we used selected data discretization techniques. In the migration models creation phase we deal with a new design of membership function shapes and rule base definitio

Název v anglickém jazyce

System Modelling based on Rough and Rough-Fuzzy Approach

Popis výsledku anglicky

In this paper the modelling of the information , economic and social systems is presented. The models are based on the rough sets theory, and the fuzzy and rough sets theory. These models have represented two real information systems, and a system of aninternal human population migration. The information systems are represented as a table where every column represents an attribute (a variable, a property). This attribute can be measured or may also be supplied by a human expert. To obtain the necessarydata questionnaires were use. To the migration model selected socioeconomic data, indicators, are applied. Economic and demographic indicators that affect size of migration for districts in the Czech Republic are defined. In data pre-processing we focused on different processing of data inputs. It means for all indicators we used selected data discretization techniques. In the migration models creation phase we deal with a new design of membership function shapes and rule base definitio

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA402%2F08%2F0849" target="_blank" >GA402/08/0849: Model řízení povzbudivého růstu regionu</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 periodika

WSEAS Transactions on Information Science and Applications

ISSN

1790-0832

e-ISSN

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Svazek periodika

5

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

GR - Řecká republika

Počet stran výsledku

10

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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