A fuzzy system for municipalities classification

Author

Hudec, Miroslav ; VujoSevi, Mirko

Author_Institution

Inst. of Informatics & Stat., INFOSTAT, Bratislava, Slovakia

fYear

2004

fDate

23-25 Sept. 2004

Firstpage

231

Lastpage

236

Abstract

A software system for municipality classification based on fuzzy rules is presented. The classification is made with the purpose of estimating and roughly planning the road maintenance needs in winter. The knowledge-based system is developed using Matlab and GIS technology. Mamdani and Sugeno type models for fuzzy reasoning have been implemented. Real data from an urban information system used in the Statistical Office of the Slovak Republic are used and knowledge acquisition from experts has been performed. The application of the system is illustrated by the example of classifying municipalities in one of the eight regions in the Slovak Republic.

Keywords

fuzzy reasoning; knowledge based systems; maintenance engineering; parameter estimation; pattern classification; roads; Mamdani model; Slovak Republic; Sugeno model; fuzzy reasoning; fuzzy rules; fuzzy system; knowledge-based system; municipality classification; road maintenance needs estimation; road maintenance planning; software system; urban information system; Cities and towns; Databases; Fuzzy logic; Fuzzy sets; Fuzzy systems; Geographic Information Systems; Informatics; Information systems; Roads; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004 7th Seminar on

Print_ISBN

0-7803-8547-0

Type

conf

DOI

10.1109/NEUREL.2004.1416581

Filename

1416581