Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Gia-in Liu"'
Autor:
Gia-Shie Liu, Kuo-Ping Lin
Publikováno v:
Mathematics, Vol 11, Iss 1, p 65 (2022)
This study attempts to propose an availability optimization decision support design system for repairable n-stage mixed systems, in which different combinations of subsystems, such as parallel, standby, and k-out-of-q, are connected in series configu
Externí odkaz:
https://doaj.org/article/fdfe47fb0e674bee9d12b1d4f27c4d2c
Autor:
Gia-Shie Liu, Kuo-Ping Lin
Publikováno v:
Mathematics, Vol 8, Iss 6, p 1002 (2020)
This study attempts to consider CO2 emission cost to propose an online distribution system of inventory-routing problem with simultaneous deliveries and returns (IRPSDRCO2). The proposed IRPSDRCO2 mathematical models will be developed to find the tot
Externí odkaz:
https://doaj.org/article/cf45dbc91fcc4f0090c56c77de906f4f
Publikováno v:
Symmetry, Vol 12, Iss 4, p 562 (2020)
The aim of this study was to develop a novel intuitionistic Type-2 fuzzy inference system (IT-2 FIS) which adopts a parameterized Yager-generating function and particle swarm optimization (PSO). In IT-2 FIS, the intuitionistic Type-2 is set as a fuzz
Externí odkaz:
https://doaj.org/article/42723320fdae4a68a9d6a871d81da962
Autor:
Gia-Shie Liu
Publikováno v:
Mathematics, Vol 7, Iss 9, p 810 (2019)
This paper combines computer-based monitoring technologies and Internet of things (IoT) technology to develop IoT condition-based group replacement decision support system for a production/service system with numerous parallel independent operating s
Externí odkaz:
https://doaj.org/article/98408e0ebd0c46f190141397e9bd92ba
Autor:
Kuo-Ping Lin, Gia-Shie Liu
Publikováno v:
Industrial Management & Data Systems. 119:89-110
Purpose The purpose of this paper is to develop a decision support system to consider geographic information, logistics information and greenhouse gas (GHG) emission information to solve the proposed green inventory routing problem (GIRP) for a speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3191f798cd32c13d2f9325dd7f2603a
https://doi.org/10.1108/imds-11-2017-0533
https://doi.org/10.1108/imds-11-2017-0533
Publikováno v:
Symmetry, Vol 12, Iss 562, p 562 (2020)
Symmetry
Volume 12
Issue 4
Symmetry
Volume 12
Issue 4
The aim of this study was to develop a novel intuitionistic Type-2 fuzzy inference system (IT-2 FIS) which adopts a parameterized Yager-generating function and particle swarm optimization (PSO). In IT-2 FIS, the intuitionistic Type-2 is set as a fuzz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::514cd96a282b5afcbc7b8eadf8d4095e
https://www.mdpi.com/2073-8994/12/4/562
https://www.mdpi.com/2073-8994/12/4/562
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030228675
This paper proposes the implementation of integral sliding mode control for a synchronous reluctance motor (SynRM) using microcontroller-based architecture. The technology of microcontroller system has been quite mature, and the price is much cheaper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::838d59e2a4fe106872b77caf1a85360f
https://doi.org/10.1007/978-3-030-22868-2_76
https://doi.org/10.1007/978-3-030-22868-2_76
Publikováno v:
Soft Computing. 19:459-470
Fuzzy segmentation methods, especially fuzzy $$c$$ c -means algorithms, have been widely used in medical imaging in past decades. This paper proposes a novel neighborhood intuitionistic fuzzy $$c$$ c -means clustering algorithm with a genetic algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7ed6ced8961443fe63d6a3042d739cf
https://doi.org/10.1007/s00500-014-1264-2
https://doi.org/10.1007/s00500-014-1264-2
Autor:
Gia-Shie Liu
Publikováno v:
International Journal of Systems Science. 46:2240-2257
This study combines a new developed redundancy allocation heuristic approach, tabu search method, simulated annealing method and non-equilibrium simulated annealing method with a genetic algorithm to solve the system availability optimisation problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f42e5d96515bce5739741ba49293680
https://doi.org/10.1080/00207721.2013.860636
https://doi.org/10.1080/00207721.2013.860636