Fusion Rule Selection
Fusion Rule Selection is the systematic process of identifying and applying an optimal decision-level fusion strategy that combines heterogeneous information sources by evaluating their individual reliability, redundancy, and complementary characteristics to enhance overall classification or inference accuracy.
77
Publications
4.1K
Citations
198
Authors
112
Institutions
Publications per year
2017–2026
18
Parents
77
Advances and Applications of DSmT for Information Fusion
Florentín Smarandache, Jean Dezert · viXra · 2004 · 447 citations
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Centre National de la Recherche Scientifique, France
2 publications · 80 citations
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1–5 of 198
112

University of Surrey
Guildford, United Kingdom
4 h-index
7 publications
514 citations
Syracuse University
Syracuse, United States
3 h-index
7 publications
193 citations

Southeast University
Nanjing, China
2 h-index
4 publications
816 citations

Indian Institute of Technology Hyderabad
Sangāreddi, India
2 h-index
3 publications
81 citations
National Taiwan University of Science and Technology
Taipei, Taiwan
2 h-index
4 publications
130 citations
West Virginia University
Morgantown, United States
2 h-index
4 publications
242 citations
Institute for Infocomm Research
Singapore, Singapore
2 h-index
3 publications
990 citations
Xi'an High Tech University
Xi'an, China
2 h-index
5 publications
125 citations
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9 publications · 892 citations
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3 publications · 53 citations
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3 publications · 533 citations
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3 publications · 93 citations
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3 publications · 206 citations
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