Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Xiuwu Liao"'
Publikováno v:
European Journal of Operational Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92a0ea51dc2fb6a6ee448b628c53c5bb
https://doi.org/10.1016/j.ejor.2023.05.007
https://doi.org/10.1016/j.ejor.2023.05.007
Publikováno v:
INFORMS Journal on Computing.
We propose a preference-learning algorithm for uncovering Decision Makers’ (DMs’) contingent evaluation strategies in the context of multiple criteria sorting. We assume the preference information in the form of holistic assignment examples deriv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::784174398369e5f1249a390d9eb0d916
https://doi.org/10.1287/ijoc.2023.1292
https://doi.org/10.1287/ijoc.2023.1292
Publikováno v:
European Journal of Operational Research. 299:600-620
We propose a novel Bayesian Ordinal Regression approach for multiple criteria choice and ranking problems. It employs an additive value function model to represent indirect Decision Maker’s (DM’s) preferences in the form of pairwise comparisons o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18939ccc77429fc456357a991d80b061
https://doi.org/10.1016/j.ejor.2021.09.028
https://doi.org/10.1016/j.ejor.2021.09.028
Publikováno v:
International Journal of Electronic Commerce. 26:149-173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c468fc5e114d67b02b266ce6d75b3030
https://doi.org/10.1080/10864415.2022.2050580
https://doi.org/10.1080/10864415.2022.2050580
Publikováno v:
Proceedings of the Pacific Asia Conference on Information Systems (PACIS); 2023, p1-9, 9p
Publikováno v:
IEEE Transactions on Cybernetics. 51:1556-1570
It is known that boosting can be interpreted as an optimization technique to minimize an underlying loss function. Specifically, the underlying loss being minimized by the traditional AdaBoost is the exponential loss, which proves to be very sensitiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd5cc1b1dcb7e8a0a4154080c9dbac67
https://doi.org/10.1109/tcyb.2019.2957101
https://doi.org/10.1109/tcyb.2019.2957101
Publikováno v:
In Applied Soft Computing Journal 2011 11(1):1144-1155
Publikováno v:
European Journal of Operational Research. 276:1071-1089
We propose a new approach to preference model learning for multiple criteria sorting within the regularization framework traditionally used in the statistical learning theory. It employs an additive piecewise-linear value function as a preference mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae97417c7dbbc4210a6226323476c03a
https://doi.org/10.1016/j.ejor.2019.01.058
https://doi.org/10.1016/j.ejor.2019.01.058
Publikováno v:
Expert Systems with Applications. 123:1-17
A new decision-aiding approach for multiple criteria sorting problems is proposed for considering the non-monotonic relationship between the preference and evaluations of the alternatives on specific criteria. The approach employs a value function as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c5d0bd6866f1888b6103732e1ec0330
https://doi.org/10.1016/j.eswa.2019.01.033
https://doi.org/10.1016/j.eswa.2019.01.033
Publikováno v:
International Journal of Electronic Commerce. 23:147-178
The emerging patent trading platforms help to ease information asymmetry and trust issues during transaction, but a proactive recommendation mechanism that intelligently helps patent buyers identif...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c052d68e7adb37c299b31ff3ae1dd244
https://doi.org/10.1080/10864415.2018.1564549
https://doi.org/10.1080/10864415.2018.1564549