Optimized fuzzy decision tree data mining for engineering applications

Liam Evans*, Niels Lohse

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Manufacturing organizations are striving to remain competitive in an era of increased competition and every-changing conditions. Manufacturing technology selection is a key factor in the growth of an organization and a fundamental challenge is effectively managing the computation of data to support future decision-making. Classification is a data mining technique used to predict group membership for data instances. Popular methods include decision trees and neural networks. This paper investigates a unique fuzzy reasoning method suited to engineering applications using fuzzy decision trees. The paper focuses on the inference stages of fuzzy decision trees to support decision-engineering tasks. The relaxation of crisp decision tree boundaries through fuzzy principles increases the importance of the degree of confidence exhibited by the inference mechanism. Industrial philosophies have a strong influence on decision practices and such strategic views must be considered. The paper is organized as follows: introduction to the research area, literature review, proposed inference mechanism and numerical example. The research is concluded and future work discussed.

Original languageEnglish
Title of host publicationAdvances in Data Mining
Subtitle of host publicationApplications and Theoretical Aspects - 11th Industrial Conference, ICDM 2011, Proceedings
Pages228-239
Number of pages12
DOIs
Publication statusPublished - 2011
Event11th Industrial Conference on Data Mining, ICDM 2011 - New York, NY, United States
Duration: 30 Aug 20113 Sept 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6870 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th Industrial Conference on Data Mining, ICDM 2011
Country/TerritoryUnited States
CityNew York, NY
Period30/08/113/09/11

Keywords

  • Classification and Prediction
  • Fuzzy Decision Tree (FDT)
  • Intelligent Decision- Making
  • Knowledge Management
  • Manufacturing Technology Selection

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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