2008
DOI: 10.1016/j.matdes.2006.12.018
|View full text |Cite
|
Sign up to set email alerts
|

On the development of a knowledge-based design support system for energy absorbers

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2009
2009
2014
2014

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(4 citation statements)
references
References 13 publications
0
4
0
Order By: Relevance
“…Alternatively to experts' acquired domain knowledge, we decided to develop an intelligent decision support system (Đurić & Devedžić, 2002;Edwards & Deng, 2007;Kumar & Singh, 2007;Novak & Dolšak, 2008;Turban et al, 2004;Vitanov & Voutchkov, 2005;Zhu et al, 2008) in order to overcome the bottle neck -plastics material selection (Ullah & Harib, 2008). In the input data are a significant factor for intelligent module performance, the results of which depend on knowledge base content.…”
Section: Intelligent Decision Support System For Plastic Product Desimentioning
confidence: 99%
“…Alternatively to experts' acquired domain knowledge, we decided to develop an intelligent decision support system (Đurić & Devedžić, 2002;Edwards & Deng, 2007;Kumar & Singh, 2007;Novak & Dolšak, 2008;Turban et al, 2004;Vitanov & Voutchkov, 2005;Zhu et al, 2008) in order to overcome the bottle neck -plastics material selection (Ullah & Harib, 2008). In the input data are a significant factor for intelligent module performance, the results of which depend on knowledge base content.…”
Section: Intelligent Decision Support System For Plastic Product Desimentioning
confidence: 99%
“…Alternatively to experts' acquired domain knowledge, we decided to develop an intelligent decision support system (Ðurić & Devedžić , 2002;Edwards & Deng, 2007;Kumar & Singh, 2007;Novak & Dolšak, 2008;Turban, Aronson, & Liang, 2004;Vitanov & Voutchkov, 2005;Zhu, Lu, & Zou, 2008) in order to overcome the bottle neck -plastics material selection (Ullah & Harib, 2008). Fig.…”
Section: Intelligent Decision Support System For Designing Plastic Prmentioning
confidence: 99%
“…Ashby et al [13] provided a comprehensive review of the strategies or methods for materials selection, from which three types of materials selection methodology had been identified. A checklist/questionnaire method had been proposed also by a number of researchers on material selection problem, the most recent being described by Edwards [14]. Besides these studies there are a few methodological approaches towards solution of the problem are listed as follows: knowledge-based system [15][16][17], integrated information technology approach [18], fuzzy knowledge based decision support system [19], a case-based reasoning method [20] and computer based material selection system [21].…”
Section: Review Of Decision Models On Materials Selection Problemmentioning
confidence: 99%