Interval-Valued Fuzzy Decision Trees with Optimal Neighbourhood Perimeter
| dc.contributor.author | Lertworaprachaya, Youdthachai | en |
| dc.contributor.author | Yang, Yingjie | en |
| dc.contributor.author | John, Robert, 1955- | en |
| dc.date.accessioned | 2016-03-21T10:35:43Z | |
| dc.date.available | 2016-03-21T10:35:43Z | |
| dc.date.issued | 2014-11 | |
| dc.description | The file attached to this record is the author's final peer reviewed version. The publisher's final version can be found by following the DOI link. ©2014 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| dc.description.abstract | This research proposes a new model for constructing decision trees using interval-valued fuzzy membership values. Most existing fuzzy decision trees do not consider the uncertainty associated with their membership values, however, precise values of fuzzy membership values are not always possible. In this paper, we represent fuzzy membership values as intervals to model uncertainty and employ the look-ahead based fuzzy decision tree induction method to construct decision trees. We also investigate the significance of different neighbourhood values and define a new parameter insensitive to specific data sets using fuzzy sets. Some examples are provided to demonstrate the effectiveness of the approach. | en |
| dc.funder | None | en |
| dc.identifier.citation | Lertworaprachaya, Y., Yang, Y. and John, R. (2014) Interval-Valued Fuzzy Decision Trees with Optimal Neighbourhood Perimeter. Applied Soft Computing, 24, pp. 851-856 | en |
| dc.identifier.doi | https://doi.org/10.1016/j.asoc.2014.08.060 | |
| dc.identifier.issn | 1568-4946 | |
| dc.identifier.uri | http://hdl.handle.net/2086/11658 | |
| dc.language.iso | en | en |
| dc.peerreviewed | Yes | en |
| dc.projectid | None | en |
| dc.publisher | Elsevier | en |
| dc.relation.ispartofseries | 24; | |
| dc.researchgroup | Centre for Computational Intelligence | en |
| dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
| dc.subject | Look-ahead based fuzzy decision tree induction | en |
| dc.subject | Optimal perimeter | en |
| dc.subject | Interval-valued fuzzy decision trees | en |
| dc.title | Interval-Valued Fuzzy Decision Trees with Optimal Neighbourhood Perimeter | en |
| dc.type | Article | en |