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- Title
Construction of fuzzy interference system for generalization of geographic information - selection of road segments.
- Authors
Fiedukowicz, Anna
- Abstract
Automation of generalization of geographic information is known as one of the biggest challenges facing modern cartography. Realization of such a process demands knowledge base which will help to decide which algorithms in which sequence should be used and how to parameterize them. Author proposes the knowledge base based on non-classical logics: rough and fuzzy. This article presents results of first trials on the fuzzy rules for realization of selection operator. Usage of fuzzy rules and linguistic variables allows better mimic the subjective character of generalization process. Test were established on the data about roads segments coming from Topographical Database (TBD) two test areas. Conducted experiment proved the possibility of utilization of fuzzy rules in the generalization of geographic information. It may be very valuable to use the idea of rough sets and reducts for selection of the attributes which are the most significant in terms of the made decision. This will be the subject of author's further research. Presented research are the initial step for creation of knowledgebase based on non-classical logic (fuzzy and rough).
- Subjects
CARTOGRAPHY; FUZZY algorithms; FUZZY sets; MATHEMATICAL geography; GEOLOGICAL mapping
- Publication
Geoinformatica Polonica, 2013, Vol 12, p53
- ISSN
1642-2511
- Publication type
Article
- DOI
10.2478/v10300-012-0013-2