Abstract
We first note that since humans communicate using linguistic terms central to man–machine cooperation is the availability of a common vocabulary understandable by both parties. Here we draw upon structures from granular computing, particularly fuzzy sets, to provide this capability. Having this capability allows the machine to use the types of information humans commonly provide. We then focus on some tools useful for the fusion of information and question answering in the context of man-machine cooperation. We describe methods for fusing information from multiple sources and we provide the capability to have multiple fused values. We also investigate the fusion of probabilistic and possibilistic information.
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Yager, R.R. (2008). Information Fusion for Man-Machine Cooperation. In: Zurada, J.M., Yen, G.G., Wang, J. (eds) Computational Intelligence: Research Frontiers. WCCI 2008. Lecture Notes in Computer Science, vol 5050. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68860-0_7
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DOI: https://doi.org/10.1007/978-3-540-68860-0_7
Publisher Name: Springer, Berlin, Heidelberg
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