Kernel Identification
Kernel Identification is a methodological contribution in outranking methods that consists in determining the subset of alternatives which are undominated and serve as the foundation for defining the final ranking or preference structure.
38
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1.5K
Citations
93
Authors
47
Institutions
Publications per year
2017–2026
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Kyoto University
Kyoto, Japan
4 h-index
8 publications
168 citations
University of Florida
Gainesville, United States
3 h-index
4 publications
65 citations

Armstrong Flight Research Center
Edwards, United States
3 h-index
3 publications
54 citations

Langley Research Center
Hampton, United States
2 h-index
2 publications
242 citations
Politecnico di Milano
Milan, Italy
2 h-index
6 publications
97 citations

Kyoto College of Graduate Studies for Informatics
Kyoto, Japan
2 h-index
3 publications
38 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
3 publications
139 citations

Linköping University
Linköping, Sweden
2 h-index
4 publications
132 citations
1–8 of 47
5 publications · 165 citations
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2 publications · 37 citations
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2 publications · 97 citations
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1 publications · 16 citations
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Repository · 1 publications · 118 citations
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