Citation

Cheah, Wooi Ping and Kim, Yun Seon and Kim, Kyoung-Yun and Yang, Hyung-Jeong (2011) Systematic causal knowledge acquisition using FCM Constructor for product design decision support. Expert Systems with Applications, 38 (12). pp. 15316-15331. ISSN 09574174

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Abstract

Despite its usefulness, design knowledge is not often captured or documented, and is therefore lost or damaged after a product design is completed. As a way to address this issue, two major formalisms can be used for modeling, representing, and reasoning about causal design knowledge: fuzzy cognitive map (FCM) and Bayesian belief network (BBN). Although FCM has been used extensively in knowledge engineering, few methodologies exist for systematically constructing it. In this paper, we present a methodology and application-FCM Constructor-to systematically acquire design knowledge from domain experts, and to construct a corresponding BBN. To show the system's usability, we use three realistic product design cases to compare BBNs that are directly generated by domain experts, with BBNs that are generated using the FCM Constructor. We find that the BBN constructed through the FCM Constructor is similar, based on reasoning results, to the BBN constructed directly by specifying conditional probability tables of BBNs. (C) 2011 Elsevier Ltd. All rights reserved.

Item Type:	Article
Subjects:	T Technology > T Technology (General) Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	05 Jan 2012 07:43
Last Modified:	04 Mar 2014 08:55
URII:	http://shdl.mmu.edu.my/id/eprint/3319

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