Data Fusion Based on Fuzzy Quantifiers
نویسندگان
چکیده
Fuzzy quantifiers (like many, few, ) are an important research topic not only due to their abundance in natural language (NL), but also because an adequate account of these quantifiers would provide a class of powerful yet human-understandable operators for information aggregation and data fusion. We introduce the DFS theory of fuzzy quantification, present a model of the theory, and describe an algorithm for the evaluation of the resulting fuzzy quantifiers. We discuss their use for data fusion and outline some areas of application.
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تاریخ انتشار 1998