Data Fusion based on Fuzzy Quantifiers

Abstract

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.

Reference

I. Glöckner, A. Knoll and A. Wolfram
Data Fusion Based on Fuzzy Quantifiers
In: Proceedings of EuroFusion98, International Data Fusion Conference, pp. 39-46, Great Malvern, UK, Oct. 1998.

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Ingo Glöckner, Ingo.Gloeckner@FernUni-Hagen.DE (Homepage)