2010
DOI: 10.1007/s00163-010-0094-1
|View full text |Cite
|
Sign up to set email alerts
|

Challenges to Bayesian decision support using morphological matrices for design: empirical evidence

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 10 publications
(5 citation statements)
references
References 44 publications
0
5
0
Order By: Relevance
“…Uncertainty is a topic that could be applied to the parameters (Matthews, 2011) and, thus, this could enhance the result in the design decision. …”
Section: Discussionmentioning
confidence: 99%
“…Uncertainty is a topic that could be applied to the parameters (Matthews, 2011) and, thus, this could enhance the result in the design decision. …”
Section: Discussionmentioning
confidence: 99%
“…The whole set of engineering solutions in the matrix constitutes the morphological set of solutions. Morphological approaches are widely used in various fields of science, engineering and economics [10][11][12].…”
Section: Morphological Approachesmentioning
confidence: 99%
“…Against each of these attributes, the designer will have to select a conceptual solution. The combination of all these solutions then generates the final design concept [8].…”
Section: Fig 1 Improving System Performance Depending On Conceptual mentioning
confidence: 99%