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A Fuzzy Decision Tree Analysis of Traffic Fatalities in the US

A Fuzzy Decision Tree Analysis of Traffic Fatalities in the US

Malcolm J. Beynon
Copyright: © 2009 |Pages: 17
ISBN13: 9781599049823|ISBN10: 1599049821|EISBN13: 9781599049830
DOI: 10.4018/978-1-59904-982-3.ch012
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MLA

Beynon, Malcolm J. "A Fuzzy Decision Tree Analysis of Traffic Fatalities in the US." Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery, edited by Hsiao-Fan Wang, IGI Global, 2009, pp. 201-217. https://doi.org/10.4018/978-1-59904-982-3.ch012

APA

Beynon, M. J. (2009). A Fuzzy Decision Tree Analysis of Traffic Fatalities in the US. In H. Wang (Ed.), Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery (pp. 201-217). IGI Global. https://doi.org/10.4018/978-1-59904-982-3.ch012

Chicago

Beynon, Malcolm J. "A Fuzzy Decision Tree Analysis of Traffic Fatalities in the US." In Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery, edited by Hsiao-Fan Wang, 201-217. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-59904-982-3.ch012

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Abstract

This chapter considers the role of fuzzy decision trees as a tool for intelligent data analysis in domestic travel research. It demonstrates the readability and interpretability the findings from fuzzy decision tree analysis can pertain, first presented in a small problem allowing the fullest opportunity for the analysis to be followed. The investigation of the traffic fatalities in the states of the US offers an example of a more comprehensive fuzzy decision tree analysis. The graphical representations of the fuzzy based membership functions show how the necessary linguistic terms are defined. The final fuzzy decision trees, both tutorial and US traffic fatalities based, show the structured form the analysis offers, as well as more readable decision rules contained therein.

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