R. Rush et Wa. Wallace, ELICITATION OF KNOWLEDGE FROM MULTIPLE EXPERTS USING NETWORK INFERENCE, IEEE transactions on knowledge and data engineering, 9(5), 1997, pp. 688-696
Citations number
29
Categorie Soggetti
Information Science & Library Science","Computer Sciences, Special Topics","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Computer Science Information Systems
Eliciting knowledge from multiple experts usually entails the use of g
roups, and thus is subject to the problems inherent in group dynamics.
We present a technique for multiple expert knowledge acquisition that
does not rely upon the use of groups and can take advantage of techno
logical advances in communications and computing, i.e., the Internet.
The approach uses influence diagrams to represent the individual exper
t's understanding of the problem situation and develops a Multiple Exp
ert Influence Diagram (MEID), a composite representation of the expert
s' knowledge. Following a review of present methods for multiple exper
t knowledge elicitation, we formally define the MEID, describe its man
ner of construction, and discuss its interpretation. We continue with
a review of the issues to be faced in implementation of the technique,
and give an illustrative example. Finally, we emphasize the need to p
rovide users of decision aids with defensible measures of the quality
of the rules produced by these aids. The MEID- approach is intended to
serve as a first step in this direction.