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Jih-Jeng Huang and Chin-Yi Chen
Cooperative alternatives need complex multi-criteria decision-making (MCDM) consideration, especially in resource allocation, where the alternatives exhibit interdependent relationships. Traditional MCDM methods like the Analytic Hierarchy Process (AHP) ...
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Jih-Jeng Huang and Chin-Yi Chen
The Analytic Hierarchy Process (AHP) has been a widely used multi-criteria decision-making (MCDM) method since the 1980s because of its simplicity and rationality. However, the conventional AHP assumes criteria independence, which is not always accurate ...
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Chin-Yi Chen and Jih-Jeng Huang
Traditional movie recommendation systems are increasingly falling short in the contemporary landscape of abundant information and evolving user behaviors. This study introduced the temporal knowledge graph recommender system (TKGRS), a ground-breaking al...
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Chin-Yi Chen and Jih-Jeng Huang
Uncertainty or vagueness is usually used to reflect the limitations of human subjective judgment on practical problems. Conventionally, imprecise numbers, e.g., fuzzy and interval numbers, are used to cope with such issues. However, these imprecise numbe...
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Pei-Yin Chen and Jih-Jeng Huang
Image clustering involves the process of mapping an archive image into a cluster such that the set of clusters has the same information. It is an important field of machine learning and computer vision. While traditional clustering methods, such as k-mea...
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Chin-Yi Chen and Jih-Jeng Huang
Given the issues relating to big data and privacy-preserving challenges, distributed data mining (DDM) has received much attention recently. Here, we focus on the clustering problem of distributed environments. Several distributed clustering algorithms h...
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Jih-Jeng Huang, Gwo-Hshiung Tzeng and Chorng-Shyon
Pág. 313 - 317
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Jih-Jeng Huang, Chorng-Shyong Ong and Gwo-Hshiung Tzeng
Pág. 525 - 530
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Jih-Jeng Huang, Gwo-Hshiung Tzeng and Chorng-Shyong Ong
Pág. 739 - 745
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Jih-Jeng Huang, Gwo-Hshiung Tzeng and Chorng-Shyong Ong
Pág. 711 - 721
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