Abstract
Fuzzy measures are used to describe interactions among given attributes towards a certain target. Given an observation as a function defined on the set of attributes, an integral of the function with respect to a given fuzzy measure is usually taken as an aggregation tool in information fusion. Various types of integrals represent different coordination modes of attributes. Thus, in case the coordination mode is unknown, due to the nonadditivity of the fuzzy measure, the integral value is uncertain and varies according to the type of the integral. A commonly used type of fuzzy measures are believe measures. The coordination uncertainty associated with belief measures in information fusion is discussed. Furthermore, the behavior of coordination uncertainty under the Dempster rule of combination is investigated in this paper.
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Wang, Z., Klir, G.J. (2007). Coordination Uncertainty of Belief Measures in Information Fusion. In: Melin, P., Castillo, O., RamÃrez, E.G., Kacprzyk, J., Pedrycz, W. (eds) Analysis and Design of Intelligent Systems using Soft Computing Techniques. Advances in Soft Computing, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72432-2_54
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DOI: https://doi.org/10.1007/978-3-540-72432-2_54
Publisher Name: Springer, Berlin, Heidelberg
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