Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7557
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yang, Rong | en_US |
dc.contributor.author | Wang, Zhen yuan | en_US |
dc.contributor.author | Heng, Peng-Ann | en_US |
dc.contributor.author | Prof. LEUNG Kwong Sak | en_US |
dc.date.accessioned | 2023-03-23T05:21:33Z | - |
dc.date.available | 2023-03-23T05:21:33Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2008, Vol. 38 (2), pp. 367 - 380 | en_US |
dc.identifier.issn | 10834419 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11861/7557 | - |
dc.description.abstract | In this paper, the original Choquet integral is generalized as a Fuzzified Choquet Integral with a Fuzzy-valued Integrand (FCIFI), which supports a fuzzy-valued integrand and an integration result. The calculation of the FCIFI is established on the Choquet integral with an interval-valued integrand (CIII). The definitions, properties, and calculation algorithms of the CIII and the FCIFI are discussed and proposed in this paper. As a specific application scheme, we designed a CIII regression model for the regression problems involving interval-valued data. This CIII regression model has a self-learning ability through a double genetic algorithm. Finally, a daily temperature predictor based on the CIII regression model is discussed, where a series of experiments is implemented to validate the performance of the predictor by real weather records from the Hong Kong Observatory. © 2008 IEEE. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics | en_US |
dc.title | Fuzzified choquet integral with a fuzzy-valued integrand and its application on temperature prediction | en_US |
dc.type | Peer Reviewed Journal Article | en_US |
dc.identifier.doi | 10.1109/TSMCB.2007.911377 | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Department of Applied Data Science | - |
Appears in Collections: | Applied Data Science - Publication |
SCOPUSTM
Citations
39
checked on Nov 3, 2024
Page view(s)
26
Last Week
0
0
Last month
checked on Nov 13, 2024
Google ScholarTM
Impact Indices
Altmetric
PlumX
Metrics
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.