Name
Title | ||
|---|---|---|
A manufacturing-environmental model using Bayesian belief networks for assembly design decision support |
Abstract | ||
|---|---|---|
Assembly design decision making is to provide a solution of currently violating design by evaluating assembly design alternatives with the consideration of the assembly design decision (ADD) criteria and of the causal interactions with manufacturing-environmental factors. Even though existing assembly design support systems have a systematic mechanism for determining the decision-criterion weight, the system still has a limitation to capture the interactions between manufacturing-environmental factors and ADD criteria. Thus, we introduce in this paper, Bayesian belief networks (BBN) for the representation and reasoning of the manufacturing-environmental knowledge. BBN has a sound mathematical foundation and reasoning capability. It also has an efficient evidence propagation mechanism and a proven track record in industry-scale applications. However, it is less friendly and flexible, when used for knowledge acquisition. In this paper, we propose a methodology for the indirect knowledge acquisition, using fuzzy cognitive maps, and for the conversion of the representation into BBN. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73325-6_37 | IEA/AIE |
Keywords | Field | DocType |
manufacturing-environmental knowledge,assembly design decision,bayesian belief network,assembly design support system,manufacturing-environmental model,assembly design decision making,assembly design alternative,efficient evidence propagation mechanism,assembly design decision support,manufacturing-environmental factor,knowledge acquisition,indirect knowledge acquisition,add criterion,decision support,fuzzy cognitive map | Support system,Computer science,Fuzzy cognitive map,Decision support system,Environmental model,Bayesian network,Artificial intelligence,Assembly design,Machine learning,Knowledge acquisition | Conference |
Volume | ISSN | Citations |
4570 | 0302-9743 | 4 |
PageRank | References | Authors |
0.44 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wooi Ping Cheah | 1 | 36 | 8.03 |
| Kyoung-Yun Kim | 2 | 210 | 23.90 |
| Hyungjeong Yang | 3 | 455 | 47.05 |
| Sook-young Choi | 4 | 11 | 3.79 |
| Hyung-Jae Lee | 5 | 4 | 0.78 |