Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation
—Cross domain collaboration recommendation method is proposed by combining fuzzy Analytic Hierarchy Process (AHP), fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and fuzzy network graph for interactive visualization method. Existing cross-domain recommendation ta...
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International Association of Computer Science and Information Technology
2020
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Online Access: | http://psasir.upm.edu.my/id/eprint/79964/ http://www.ijml.org/index.php?m=content&c=index&a=show&catid=110&id=1179 |
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my.upm.eprints.799642023-04-13T03:33:59Z http://psasir.upm.edu.my/id/eprint/79964/ Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation Zolkepli, Maslina Mohd Aris, Teh Noranis —Cross domain collaboration recommendation method is proposed by combining fuzzy Analytic Hierarchy Process (AHP), fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and fuzzy network graph for interactive visualization method. Existing cross-domain recommendation tackles the problem of sparsity, scalability, cold-start and serendipity issues found in single-domain, therefore the combination of fuzzy AHP and TOPSIS with visualization method may be able to give decision makers a quick start to initiate cross-domain collaborations. The proposed method is applied to the DBLP bibliographic citation dataset that consists of 10 domains in the field of computer science. Results show that the combination of fuzzy AHP and TOPSIS enables decision makers to find several authors from across domains that consist of 2.2 million publications in less than 3 minutes. The combination method will be represented in fuzzy visualization technique for fuzzy data. The establishment of the cross domain recommendation will set a stage for efficient preparation for researchers who are interested to venture into other domains to increase their research competency. International Association of Computer Science and Information Technology 2020 Article PeerReviewed Zolkepli, Maslina and Mohd Aris, Teh Noranis (2020) Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation. International Journal of Machine Learning and Computing, 10 (6). pp. 746-751. ISSN 2010-3700 http://www.ijml.org/index.php?m=content&c=index&a=show&catid=110&id=1179 10.18178/ijmlc.2020.10.6.1000 |
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description |
—Cross domain collaboration recommendation
method is proposed by combining fuzzy Analytic Hierarchy
Process (AHP), fuzzy Technique for Order Preference by
Similarity to Ideal Solution (TOPSIS), and fuzzy network graph
for interactive visualization method. Existing cross-domain
recommendation tackles the problem of sparsity, scalability,
cold-start and serendipity issues found in single-domain,
therefore the combination of fuzzy AHP and TOPSIS with
visualization method may be able to give decision makers a
quick start to initiate cross-domain collaborations. The
proposed method is applied to the DBLP bibliographic citation
dataset that consists of 10 domains in the field of computer
science. Results show that the combination of fuzzy AHP and
TOPSIS enables decision makers to find several authors from
across domains that consist of 2.2 million publications in less
than 3 minutes. The combination method will be represented in
fuzzy visualization technique for fuzzy data. The establishment
of the cross domain recommendation will set a stage for efficient
preparation for researchers who are interested to venture into
other domains to increase their research competency. |
format |
Article |
author |
Zolkepli, Maslina Mohd Aris, Teh Noranis |
spellingShingle |
Zolkepli, Maslina Mohd Aris, Teh Noranis Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation |
author_facet |
Zolkepli, Maslina Mohd Aris, Teh Noranis |
author_sort |
Zolkepli, Maslina |
title |
Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation |
title_short |
Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation |
title_full |
Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation |
title_fullStr |
Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation |
title_full_unstemmed |
Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation |
title_sort |
fuzzy ahp and topsis in cross domain collaboration recommendation with fuzzy visualization representation |
publisher |
International Association of Computer Science and Information Technology |
publishDate |
2020 |
url |
http://psasir.upm.edu.my/id/eprint/79964/ http://www.ijml.org/index.php?m=content&c=index&a=show&catid=110&id=1179 |
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13.160551 |