Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Fathi Gasir"'
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030551865
IntelliSys (2)
IntelliSys (2)
Evaluation can be defined as a process of determining the significance of a research output. This is usually done by devising a well-structured study on this output using one or more evaluation measures in which a careful inspection is performed. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5d50d0e4bd99f3ab63598c36ccc2fc6
https://doi.org/10.1007/978-3-030-55187-2_17
https://doi.org/10.1007/978-3-030-55187-2_17
Autor:
Fathi Gasir, Keeley Crockett
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783319405803
IPMU (2)
IPMU (2)
One of the challenges in data mining practices is that the datasets vary in complexity and often have different characteristics such as number of attributes, dependent variables characteristics etc. In terms of regression problems, the features that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eeaaa95e523bfa45df384c1a91fdda04
https://doi.org/10.1007/978-3-319-40581-0_53
https://doi.org/10.1007/978-3-319-40581-0_53
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 20:133-157
Fuzzy decision forests aim to improve the predictive power of single fuzzy decision trees by allowing multiple views of the same domain to be modelled. Such forests have been successfully created for classification problems where the outcome field is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9deef3024901c3f3e9892eb23768fbc9
https://doi.org/10.1142/s0218488512400181
https://doi.org/10.1142/s0218488512400181
Publikováno v:
FUZZ-IEEE
This paper presents a new approach to combining multiple fuzzy regression trees, which are induced by applying the modified Elgasir fuzzy regression tree algorithm. This method utilises Trapezoidal membership functions for fuzzification and the Takag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::989d248762a1d0e1bff1c37a903e1c5c
https://doi.org/10.1109/fuzzy.2011.6007523
https://doi.org/10.1109/fuzzy.2011.6007523
Publikováno v:
SMC
This paper presents the application of a novel fuzzy regression trees technique to real-world regression problems. Elgasir algorithm is a fuzzy regression trees technique applied to crisp regression trees in order to overcome the problems of sharp de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::542337112b4308fbed31e5c08d3fc0bf
https://doi.org/10.1109/icsmc.2010.5641943
https://doi.org/10.1109/icsmc.2010.5641943
Publikováno v:
FUZZ-IEEE
Fuzzy regression trees are a generalization of the standard artificial intelligence technique of regression trees. The Elgasir algorithm has previously been used to create fuzzy regression trees in order to improve the performance of crisp regression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::139cb350b5871a5a6fa58d1311fc9924
https://doi.org/10.1109/fuzzy.2010.5584190
https://doi.org/10.1109/fuzzy.2010.5584190
Publikováno v:
Information Processing & Management of Uncertainty in Knowledge-Based Systems: 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20 - 24, 2016, Proceedings, Part II; 2016, pI-XXIV, 24p
Publikováno v:
2016 IEEE Congress on Evolutionary Computation (CEC); 2016, pi-clxix, 169p
Publikováno v:
International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems; Oct2012 Supplement, Vol. 20, p133-157, 25p, 1 Diagram, 15 Charts, 2 Graphs
The book Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their appli