Abstract
In structural engineering critical is the combination of multiple and uncertain sources of knowledge. Commonly, these sources are any set of data, expert opinions, physical models or outcomes from instruments or techniques monitoring a particular event. Whilst the structure of the composition problem can differ from one case to another, we argue that a general pattern is preserved. Thus, the investigation and characterization of this pattern can help to highlight the nature of the dependencies between the different sources. The paper aims at presenting a rigorous and general approach to managing the imperfection of data. The proposed analysis is performed in the frame of the theory of fuzzy uncertainty measures. In fact, the expressiveness of these measures makes them suitable to represent a wide range of situations. In the paper we present two examples of application of the above analysis to real problems. The perspective of the analysis towards a knowledge engineering approach is emphasized.
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Servida, A. (1989). Reasoning About Data: The Combination of Multiple and Non Homogeneous Sources of Knowledge. In: Jovanović, A.S., Kussmaul, K.F., Lucia, A.C., Bonissone, P.P. (eds) Expert Systems in Structural Safety Assessment. Lecture Notes in Engineering, vol 53. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83991-7_22
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DOI: https://doi.org/10.1007/978-3-642-83991-7_22
Publisher Name: Springer, Berlin, Heidelberg
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