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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Fuzzy Rough Sets Theory Reducts for Quantitative Decisions – Approach for Spatial Data Generalization
verfasst von : Anna Fiedukowicz
Erschienen in: Pattern Recognition and Machine Intelligence
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Abstract
One of the most important objectives within the scope of current cartography is the creation of system controlling the process of geographical data generalisation. Firstly, it requires selection of the features crucial from the point of view of the decision making process. Such tools as reducts and fuzzy reducts, though useful, are still insufficient for the quantitative decisions, common in cartographical generalization. Thus the author proposed a modification in fuzzy reducts calculating, which can allow to calculate them with regard to a continuous decision variable. The proposed method is based on the t-norm of fuzzy indiscernibility based on attribute value and fuzzy indiscernibility based on decision, which is calculated for each pair of objects. The solution seems to be more intuitive than the ones established previously.