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Driven by the underlying need for a yet to be developed framework for fusing heterogeneous data and information at different semantic levels coming from both sensory and human sources, we present some results of the research being conducted within the NATO Research Task Group IST-106/RTG-051 on "Information Filtering and Multi Source Information Fusion". As(More)
This paper discusses the problem of application of the logical operators while defining the posterior hypotheses, that is hypotheses which are not directly created upon the sensor data. In the authors' opinion the application of the logical sentence operators is constrained to some specific cases, where the sets operators may be applied as well. On the(More)
  • K. Krenc
  • 2012
This paper presents an analysis of known rules of combination as well as a new method of combining uncertain evidence. The author concentrates on examination of the rules with accordance to target threat models. The examination have been taken with usage of the predefined measuring scenarios applied to information sources.
This document describes what particular pieces of information about source should be taken into account to get a reasonable assessment of an attribute information retrieved based on the sensor data or human originated information. It has been proven that actual sensor weights and hypotheses masses do not change randomly, but they vary in time according to(More)
This paper presents several lessons learned from the ongoing work of NATO IST-132 RTG-063 which is focused on data and information fusion incorporating structured and unstructured human generated information with device-generated data. Recommendations for the synergic information processing between low and high level fusion applications using soft and hard(More)
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