Design Decision Support
Design Decision Support is a computational and analytical framework within data-driven design that provides evidence-based recommendations and evaluations to assist designers in selecting optimal design alternatives by integrating empirical data, predictive models, and decision-making criteria.
1.6K
Publications
64K
Citations
3.7K
Authors
1.1K
Institutions
Publications per year
2017–2026
370
1.6K
A survey of user-centered design practice
Karel Vredenburg, Ji‐Ye Mao, Paul W. Smith et al. · 2002 · 654 citations
Using AHP and TOPSIS approaches in customer-driven product design process
Ming‐Chyuan Lin, Chencheng Wang, Ming‐Shi Chen et al. · Computers in Industry · 2007 · 470 citations
Arts, Design, Industrial Engineering +14
1–5 of 1.6K
3.7K
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20
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University at Buffalo, State University of New York, United States
12 publications · 484 citations
12
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11
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11
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1–5 of 3.7K
1.1K
Georgia Institute of Technology
Atlanta, United States
31 h-index
173 publications
8.1K citations
University of Cambridge
Cambridge, United Kingdom
21 h-index
63 publications
6.2K citations
Massachusetts Institute of Technology
Cambridge, United States
21 h-index
64 publications
3K citations

Delft University of Technology
Delft, The Netherlands
19 h-index
50 publications
1.7K citations
Carnegie Mellon University
Pittsburgh, United States
19 h-index
54 publications
2K citations
Nanyang Technological University
Singapore, Singapore
18 h-index
42 publications
2.8K citations

Pennsylvania State University
State College, United States
17 h-index
52 publications
2.2K citations
University of California, Berkeley
Berkeley, United States
15 h-index
30 publications
1.6K citations
1–8 of 1.1K
51 publications · 3.3K citations
31
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44 publications · 2.1K citations
27
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37 publications · 1.7K citations
24
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31 publications · 1.6K citations
23
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27 publications · 1.6K citations
20
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