Journal ArticleDOI
On the optimization of fuzzy decision trees
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TLDR
This paper points out the inherent defect of the likes of Fuzzy ID3, presents two optimization principles of fuzzy decision trees, proves that the algorithm complexity of constructing a kind of minimum fuzzy decision tree is NP-hard, and gives a new algorithm which is applied to three practical problems.About:
This article is published in Fuzzy Sets and Systems.The article was published on 2000-05-16. It has received 158 citations till now. The article focuses on the topics: Fuzzy set operations & Fuzzy classification.read more
Citations
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Journal ArticleDOI
Decision trees: a recent overview
TL;DR: Basic decision tree issues and current research points are described, guiding the researcher in interesting research directions and suggesting possible bias combinations that have yet to be explored.
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A complete fuzzy decision tree technique
Cristina Olaru,Louis Wehenkel +1 more
TL;DR: This method combines tree growing and pruning, to determine the structure of the soft decision tree, with refitting and backfitting, to improve its generalization capabilities.
Journal ArticleDOI
Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir
TL;DR: Based on a real case of MPFM, a new method for oil rate prediction of wells base on Fuzzy logic, Artificial Neural Networks (ANN) and Imperialist Competitive Algorithm is presented, proving the effectiveness, robustness and compatibility of the ICA-ANN model.
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Induction of multiple fuzzy decision trees based on rough set technique
TL;DR: A numerical experiment on real data indicates that the proposed multiple tree induction is superior to the single tree induction based on the individual reduct or on the entire feature set for learning problems with many attributes.
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A comparative study on heuristic algorithms for generating fuzzy decision trees
TL;DR: The purpose of this study is to explore comparative strengths and weaknesses of the three heuristics and to show some useful guidelines on how to choose an appropriate heuristic for a particular problem.
References
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Journal ArticleDOI
Induction of Decision Trees
TL;DR: In this paper, an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one such system, ID3, in detail, is described, and a reported shortcoming of the basic algorithm is discussed.
Journal ArticleDOI
A survey of decision tree classifier methodology
S.R. Safavian,David A. Landgrebe +1 more
TL;DR: The subjects of tree structure design, feature selection at each internal node, and decision and search strategies are discussed, and the relation between decision trees and neutral networks (NN) is also discussed.
Journal ArticleDOI
Generating fuzzy rules by learning from examples
Li-Xin Wang,Jerry M. Mendel +1 more
TL;DR: The mapping is proved to be capable of approximating any real continuous function on a compact set to arbitrary accuracy and applications to truck backer-upper control and time series prediction problems are presented.