Paper Info
Title
A Delphi-based approach to developing expert systems with the cooperation of multiple experts
Abstract
Knowledge acquisition has been a critical bottleneck in building knowledge-based systems. In past decades, several methods and systems have been proposed to cope with this problem. Most of these methods and systems were proposed to deal with the acquisition of domain knowledge from single expert. However, as multiple experts may have different experiences and knowledge on the same application domain, it is necessary to elicit and integrate knowledge from multiple experts in building an effective expert system. Moreover, the recent literature has depicted that ''time'' is an important parameter that might significantly affect the accuracy of inference results of an expert system; therefore, while discussing the elicitation of domain expertise from multiple experts, it becomes an challenging and important issue to take the ''time'' factor into consideration. To cope with these problems, in this study, we propose a Delphi-based approach to eliciting knowledge from multiple experts. An application on the diagnosis of Severe Acute Respiratory Syndrome has depicted the superiority of the novel approach.
Year
DOI
Venue
2008
10.1016/j.eswa.2007.05.034
Expert Syst. Appl.
Keywords
Field
DocType
application domain,knowledge acquisition,multiple expert,domain expertise,effective expert system,medical diagnosis,expert system,delphi-based approach,single expert,knowledge integration,delphi method,domain knowledge,eliciting knowledge,knowledge based system
Data mining,Knowledge integration,Domain knowledge,Subject-matter expert,Computer science,Expert system,Knowledge management,Delphi method,Knowledge engineering,Knowledge acquisition,Legal expert system
Journal
Volume
Issue
ISSN
34
4
Expert Systems With Applications
Citations 
PageRank 
References 
30
2.18
17
Authors
2
Name
Order
Citations
PageRank
Hui-chun Chu167342.23
Gwo-Jen Hwang23399217.05