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System Modelling based on Rough and Rough-Fuzzy Approach
Year: 2008
Type of publication: článek v odborném periodiku
Name of source: WSEAS Transactions on Information Science and Applications
Publisher name: WSEAS Press
Place: Atény
Page from-to: 1438-1447
Titles:
Language Name Abstract Keywords
cze Modelování systému na bázi fuzzy a rough množin. V příspěvku se autoři zabývají modelováním informačních, sociálních a ekonomických systémů. Využívají při tom teorie fuzzy a rough množin. Modely byly realizovány v Matlabu a výsledky porovnávány dle dosažené přesnosti klasifikace. fuzzy množiny;rough množiny;modelování;klasifikace
eng System Modelling based on Rough and Rough-Fuzzy Approach 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 an internal 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 necessary data 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 definition. The classifier models were carried out in MATLAB. Performed experiments have proven the accuracy of the proposed approach. Modelling;rough sets theory;fuzzy sets;information system;internal human migration;evaluation;classification

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