Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Shinan Zhao"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4083-4101 (2024)
Abstract The flexible job-shop scheduling problem (FJSP) with parallel batch processing machine (PBM) is one of those long-standing issues that needs cutting-edge approaches. It is a recent extension of standard flexible job shop scheduling problems.
Externí odkaz:
https://doaj.org/article/af1a7fb6a83f4f46b207e5f492e4a96c
Publikováno v:
Journal of visualized experiments : JoVE. (189)
This study introduces an experimental paradigm for a usability test of emerging technologies in a management information system (MIS). The usability test included both subjective and objective evaluations. For the subjective evaluation, a usability q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffe513696c3b0fe3f2009e922c106af3
https://pubmed.ncbi.nlm.nih.gov/36533824
https://pubmed.ncbi.nlm.nih.gov/36533824
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51:3911-3925
Mixed coalition analysis approaches are developed within the framework of the graph model for conflict resolution (GMCR) for analyzing the heterogeneous multicoalitional opponents having mixed coalitional sanctions, in which some sanctioning coalitio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::667b7b3594f1756b86d289637c2c0a85
https://doi.org/10.1109/tsmc.2019.2950673
https://doi.org/10.1109/tsmc.2019.2950673
Publikováno v:
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8994181c253110740cc85e995ef55bb
https://doi.org/10.1109/icaice54393.2021.00100
https://doi.org/10.1109/icaice54393.2021.00100
Publikováno v:
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f12d10f979e38e152084a0bc84a4690c
https://doi.org/10.1109/icaice54393.2021.00087
https://doi.org/10.1109/icaice54393.2021.00087
Publikováno v:
European Journal of Operational Research. 277:621-632
Mixed stabilities are incorporated into the Graph Model for Conflict Resolution (GMCR) for modeling and analyzing a complicated conflict with heterogeneous opponents, consisting of both credible and non-credible players. To identify the mixed coaliti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1fb2a1acd92fead5d10f67deca2f86f
https://doi.org/10.1016/j.ejor.2019.02.043
https://doi.org/10.1016/j.ejor.2019.02.043
Autor:
Shinan Zhao, Haiyan Xu
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783030486402
GDN
GDN
The option prioritization is the most effective preference ranking approach within the framework of the graph model for conflict resolution, in which a set of option statements for each decision maker (DM) involved in a dispute is determined by indiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd07e3839695818ffc2780dde0774ddc
https://doi.org/10.1007/978-3-030-48641-9_4
https://doi.org/10.1007/978-3-030-48641-9_4
Autor:
Shinan Zhao1, Haiyan Xu1 xuhaiyan@nuaa.edu.cn
Publikováno v:
Journal of Grey System. 2017, Vol. 29 Issue 3, p14-25. 12p.
Publikováno v:
Journal of Physics: Conference Series. 2030:012098
The translation fusion of multi-machine translation is a strategy that has been proposed very early to improve the quality of machine translation. It has been fully discussed under the framework of statistical machine translation, and further breakth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33303a7a2d8db28af9616392512da8d9
https://doi.org/10.1088/1742-6596/2030/1/012098
https://doi.org/10.1088/1742-6596/2030/1/012098
Publikováno v:
The Open Cybernetics & Systemics Journal. 11:94-106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eb1ee5d02a7425090f132f966f975aa
https://doi.org/10.2174/1874110x01711010094
https://doi.org/10.2174/1874110x01711010094