Elicitation of Time Scale-Oriented Expertise from Multiple Experts

In past decades, most of knowledge acquisition 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, recent literature has depicted that "time" is an important parameter that might significantly affect the accuracy of inference results of an expert system. To cope with these problems, we propose a time scale-oriented approach to eliciting knowledge from multiple experts; moreover, a knowledge acquisition system has been implemented accordingly.