Constructing manufacturing-environmental model in Bayesian belief networks for assembly design decision support through fuzzy cognitive maps. (9th February 2009)

• Record Type: Journal Article
• Authors: Cheah, Wooi Ping; Kim, Kyoung-Yun; Yang, Hyung-Jeong; Kim, Man-Sun; , Jeong-Sik Kim
• Is Part Of: International journal of intelligent information and database systems. Volume 3:Number 1(2009)
• Page Start: 3
• Page End: 27
• Publication Date: 2009-02-09
• Subjects: manufacturing -- assembly design -- decision support -- fuzzy cognitive maps -- FCMs -- Bayesian belief networks -- BBNs -- environmental knowledge -- knowledge acquisition; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

This paper deals with the introduction of the Bayesian belief network (BBN) for the representation and reasoning about manufacturing environmental knowledge which captures the interactions between manufacturing-environmental factors and assembly design decision (ADD) criteria. BBN is used because it has a sound mathematical foundation, expressive representation scheme, powerful reasoning capability, efficient evidence propagation mechanism and proven track record in industry-scale applications. Unfortunately, the construction of conditional probability tables (CPTs) is both tedious and unnatural. Hence, fuzzy cognitive map (FCM) is introduced for knowledge acquisition because it is simple and user friendly. We also propose a method for the conversion of FCM into BBN.