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A new Ripple Down Rules based methodology which allows for the creation of rules that use classifications as conditions has been developed, and is entitled Multiple Classification Ripple Round Rules (MCRRR). Since it is difficult to recruit human experts in domains which are appropriate for testing this kind of method, simulated evaluation has been employed. This paper presents a simulated evaluation approach for assessing two separate aspects of the MCRRR method, which have been identified as potential areas of weakness. Namely, "Is the method useful in practice?" and "Is the method acceptable, computationally?" It was found that the method appears to be of value in some, but not many, "traditional" multi-class domains, and that due to computational concerns with one aspect of the method it is considered unsuitable for domains with a very large number of cases or rules. These issues are discussed and solu- tions are proposed.

Item Type:	Refereed Conference Paper
Keywords:	ripple, down, rules, multiple, classification, round, configuration, knowledge acquisition, simulated, expert, assessment
Research Division:	Information and Computing Sciences
Research Group:	Artificial Intelligence and Image Processing
Research Field:	Expert Systems
Objective Division:	Information and Communication Services
Objective Group:	Computer Software and Services
Objective Field:	Computer Software and Services not elsewhere classified
UTAS Author:	Bindoff, IK (Dr Ivan Bindoff)
UTAS Author:	Kang, BH (Professor Byeong Kang)
ID Code:	64982
Year Published:	2010
Deposited By:	Information and Communication Technology
Deposited On:	2010-09-21
Last Modified:	2012-03-21
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