Multi-attribute Filtering
Multi-Attribute Filtering is a filtering methodology that enables the simultaneous evaluation and selection of items based on multiple distinct attributes or criteria, distinguishing itself from single-attribute approaches by integrating heterogeneous dimensions into a unified decision-making process.
7
Publications
370
Citations
25
Authors
15
Institutions
Publications per year
2017–2026
6
Parents
7
Zhengchao Liu, Lei Wang, Xixing Li et al. · Journal of Manufacturing Systems · 2021 · 91 citations
Computing, Industrial Engineering, Manufacturing Engineering +17
An improved algorithm for personalized recommendation on MOOCs
Yuqin Wang, Bing Liang, Wen Ji et al. · International Journal of Crowd Science · 2017 · 17 citations · Full text
1–5 of 7
25
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PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH, India
1 publications · 13 citations
1
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1
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1–5 of 25
15

UNSW Sydney
Sydney, Australia
1 h-index
1 publications
28 citations

Jiangxi University of Science and Technology
Ganzhou, China
1 h-index
1 publications
91 citations

University of Strathclyde
Glasgow, United Kingdom
1 h-index
2 publications
56 citations

University of the Philippines Cebu
Cebu City, Philippines
1 h-index
2 publications
72 citations
Hubei University of Technology
Wuhan, China
1 h-index
1 publications
91 citations
Korea University
Seoul, South Korea
1 h-index
2 publications
350 citations
University of Canberra
Canberra, Australia
1 h-index
1 publications
28 citations
Institute of Computing Technology
Beijing, China
1 h-index
4 publications
68 citations
1–8 of 15
1 publications · 175 citations
1
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1 publications · 28 citations
1
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1 publications · 13 citations
1
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1 publications · 17 citations
1
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1 publications · 10 citations
1
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