Rough and fuzzy sets are important techniques that can be used in various ways for modeling uncertainty in data and in spatial relationships between data ...
Rough and fuzzy sets are important techniques that can be used in various ways for modeling uncertainty in data and in spatial relationships between data ...
Aug 27, 2024 · PDF | The management of uncertainty in databases is necessary for real world applications, especially for systems involving spatial data ...
This chapter discusses various approaches involving rough and fuzzy sets for spatial database applications such as GIS. 1 Abstract.
Front Matter · Decision Support Classification of Geospatial and Regular Objects Using Rough and Fuzzy Sets · Supporting Spatial Decision Making by Means of ...
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Oct 22, 2024 · Here we consider how both fuzzy set and rough set theory has been used to represent geospatial data with uncertainty. Terrain mod-eling and ...
A Rough Fuzzy Set is defined as a set that combines fuzzy logic with rough set theory to handle uncertainty in information by capturing vagueness and ...
Rough sets have been shown to be an effective tool for data mining and uncertainty management in databases. The 9-intersection, region connection calculus (RCC) ...
Sep 19, 2024 · This paper uses fuzzy rough sets for quantifying local and overall variable relationships to address this limitation, relying on the consistent ...
Abstract. This paper explores the possible advantages of using rough set based classification in GIS, to represent uncertainty both in terms of spatial ...