Interval-valued fuzzy decision trees with optimal neighbourhood perimeter

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Lertworaprachaya, Youdthachai, Yang, Yingjie and John, Robert (2014) Interval-valued fuzzy decision trees with optimal neighbourhood perimeter. Applied Soft Computing, 24 . pp. 851-866. ISSN 1872-9681

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Official URL: http://www.sciencedirect.com/science/article/pii/S1568494614004256

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.

Item Type:	Article
RIS ID:	https://nottingham-repository.worktribe.com/output/993960
Keywords:	Look-ahead based fuzzy decision tree induction; Optimal perimeter; Interval-valued fuzzy decision trees
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number:	10.1016/j.asoc.2014.08.060
Depositing User:	John, Professor Robert
Date Deposited:	27 Sep 2014 15:40
Last Modified:	04 May 2020 20:12
URI:	https://eprints.nottingham.ac.uk/id/eprint/3364

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