Abstract
The integration of conflicting views of experts remains one of the most serious impediments to expanded use by business and government of Expert Systems. Clark (1990) has suggested separation of the risk component (certainty sets) from Expert System rules for judgemental problem solving, and fuzzy rules extracted through simulation studies [2] have also been proposed.
In this paper, a new approach is suggested, based on knowledge fusion, which is achieved through expansion of the goal space to accommodate divergent views.
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References
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© 1993 Springer-Verlag
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Garner, B.J., Lukose, D. (1993). Knowledge fusion. In: Pfeiffer, H.D., Nagle, T.E. (eds) Conceptual Structures: Theory and Implementation. Lecture Notes in Computer Science, vol 754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57454-9_13
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DOI: https://doi.org/10.1007/3-540-57454-9_13
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