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• W2040338832 abstract "Geographic information is traditionally represented by a one-entity–one-class method, assuming that each geographical entity in the map can be unambiguously assigned to a single thematic class. Also, thematic map classes are assumed to be exhaustive and mutually exclusive. By contrast, fuzzy classifications overcome the traditional limitations on the mutually exclusive nature of map classes assigning varying levels of class membership for individual map entities. The aim of this paper is to show that the substitution of fuzzy set theory for classical set theory is an essential improvement for representing geographic information using hierarchical classification schemes." @default.
• W2040338832 created "2016-06-24" @default.
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• W2040338832 date "2007-06-01" @default.
• W2040338832 modified "2023-10-14" @default.
• W2040338832 title "Are landscapes as crisp as we may think?" @default.
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• W2040338832 doi "https://doi.org/10.1016/j.ecolmodel.2006.12.028" @default.
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