Zobrazeno 1 - 10
of 311
pro vyhledávání: '"Toly Chen"'
Autor:
Yu-Cheng Wang, Toly Chen
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 6, Pp 6813-6829 (2023)
Abstract Several artificial intelligence (AI) technologies have been applied to assist in the selection of suitable three-dimensional (3D) printing facilities in ubiquitous manufacturing (UM). However, AI applications in this field may not be easily
Externí odkaz:
https://doaj.org/article/6bc19334a7a943adac4f240f79bc5876
Autor:
Yu-Cheng Lin, Toly Chen
Publikováno v:
Journal of Theoretical and Applied Electronic Commerce Research, Vol 16, Iss 7, Pp 3282-3298 (2021)
Most of the existing ubiquitous clinic recommendation (UCR) systems adopt linear mechanisms to aggregate the attribute-level performances of a clinic to evaluate the overall performance. However, such linear mechanisms may not be able to explain the
Externí odkaz:
https://doaj.org/article/9ebabbaa0c454011b943fca11adc2a5e
Autor:
Yu-Cheng Wang, Toly Chen
Publikováno v:
Soft Computing Letters, Vol 3, Iss , Pp 100016- (2021)
A decision maker may hold multiple viewpoints regarding the relative priorities of criteria simultaneously, but this has rarely been considered in past studies. Therefore, this study proposes a bi-objective analytic hierarchy process (AHP)–mixed in
Externí odkaz:
https://doaj.org/article/aa2b34e032494dcaa8ddc184e4e4a44b
Autor:
Toly Chen, Yu-Cheng Wang
Publikováno v:
Healthcare, Vol 9, Iss 11, p 1461 (2021)
The COVID-19 pandemic seems to be entering its final stage. However, to restore normal life, the applications of smart technologies are still necessary. Therefore, this research is dedicated to exploring the applications of smart technologies that ca
Externí odkaz:
https://doaj.org/article/25db3432804b403290909fb7cf92aa56
Publikováno v:
Mathematics, Vol 9, Iss 12, p 1430 (2021)
Forecasting the cycle time of each job is a critical task for a factory. However, recent studies have shown that it is a challenging task, even with state-of-the-art deep learning techniques. To address this challenge, a selectively fuzzified back pr
Externí odkaz:
https://doaj.org/article/efb6e3748872479d91f8e46d663a25b5
Publikováno v:
Healthcare, Vol 9, Iss 1, p 71 (2021)
The supply chain disruption caused by the coronavirus disease 2019 (COVID-19) pandemic has forced many manufacturers to look for alternative suppliers. How to choose a suitable alternative supplier in the COVID-19 pandemic has become an important tas
Externí odkaz:
https://doaj.org/article/083566c68a324d68a3539e8964eb517a
Publikováno v:
Healthcare, Vol 8, Iss 4, p 481 (2020)
The COVID-19 pandemic has affected the operations of factories worldwide. However, the impact of the COVID-19 pandemic on different factories is not the same. In other words, the robustness of factories to the COVID-19 pandemic varies. To explore thi
Externí odkaz:
https://doaj.org/article/c78258f5b8624481ae133d00de4d7dbf
Publikováno v:
Mathematics, Vol 8, Iss 8, p 1319 (2020)
Most existing fuzzy AHP (FAHP) methods use triangular fuzzy numbers to approximate the fuzzy priorities of criteria, which is inaccurate. To obtain accurate fuzzy priorities, time-consuming alpha-cut operations are usually required. In order to impro
Externí odkaz:
https://doaj.org/article/2748df06cdab4054bb76b474e08b0cdf
Autor:
Toly Chen
Publikováno v:
Symmetry, Vol 6, Iss 2, Pp 409-426 (2014)
An innovative classification and back-propagation-network tree (CABPN tree) approach is proposed in this study to estimate the cycle time of a job in a wafer fabrication factory, which is one of the most important tasks in controlling the wafer fabri
Externí odkaz:
https://doaj.org/article/901ccaf1a96842f1ab7e779c21d645c9
Autor:
Toly Chen
Publikováno v:
Entropy, Vol 16, Iss 4, Pp 2001-2022 (2014)
Location-aware service systems are a hot topic in diverse research fields including mobile commerce, ambient intelligence, remote sensing and ubiquitous computing. However, the timeliness and efficiency of such systems are two issues that have rarely
Externí odkaz:
https://doaj.org/article/dc9d108ce513437ea7ca88ae6362ecb1