Abstract
A knowledge-based fuzzy system for the purpose of municipalities classification is presented in this paper. It illustrates how fuzzy systems can be used for municipalities classification and ranking tasks. The application of the system is explained by the example of classification in one region in the Slovak Republic. The original problem of estimating and rough planning of road maintenance requirements in winter was examined. The suggested methodology is supported by GIS technology for visualization of the ranked municipalities to offer a better view on the territorial distribution of the obtained solution. A disadvantage of fuzzy systems for the end user is in their complexity. This disadvantage has been analysed and a solution is suggested to overcome it. The proposal deals with the integration of information system and self developed fuzzy system. This integration enables creating the model, importing input data, processing rules and presenting results in tables and maps in one integrated tool.
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Benčič A, Hudec M (2002) MOŠ/MIS—Urban and municipal statistics project and information system of the Slovak Republic. In: SYM-OP-IS’02, XXIX symposium on operational research, Tara, pp XXI-32–XXI-35
Cox E (2005) Fuzzy modeling and genetic algorithms for data mining and exploration. Morgan Kaufman, San Francisco
Gorzalczany M (2002) Computational intelligence systems and applications. Physica Verlag, Heidelberg
Hudec M, Vujošević M (2005) Fuzzy systems and neuro-fuzzy systems for the municipalities classification. In: IEEE EUROFUSE anniversary workshop on “fuzzy for better”, pp 101–110
Hudec M, Vujošević M (2007) Integration of a fuzzy system and an information system for the territorial units ranking. In: 9th International conference on enterprise information systems ICEIS 2007, Proceedings of artificial intelligence and decision support system, Funchal-Madeira, pp 374–377
Ioannidis C, Hazichristos T (2000) A municipality selection proposal for the expansion of the Hellenic cadastre using fuzzy logic. In: Spatial information management, experience and visions for the 21st century, Glifada. http://www.fig.net/com_3_athens/. Accessed April 2004
Klir G, Yuan B (1995) Fuzzy sets and fuzzy logic theory and applications. Prentice Hall, New Jersey
Kuncheva L (2000) How good are fuzzy if-then classifiers?. IEEE Trans Syst Man Cybern part B 30(4): 501–509
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Hudec, M., Vujošević, M. A fuzzy system for municipalities classification. Cent Eur J Oper Res 18, 171–180 (2010). https://doi.org/10.1007/s10100-009-0105-3
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DOI: https://doi.org/10.1007/s10100-009-0105-3