Investment analyses using fuzzy decision trees

Cengiz Kahraman*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Citations (Scopus)

Abstract

A decision tree is a method you can use to help make good choices, especially decisions that involve high costs and risks. Decision trees use a graphic approach to compare competing alternatives and assign values to those alternatives by combining uncertainties, costs, and payoffs into specific numerical values. A fuzzy decision tree is a generalization of the crisp case. Fuzzy decision trees are helpful for representing ill-defined structures in decision analysis. This chapter presents investment analyses using fuzzy decision trees with examples.

Original languageEnglish
Title of host publicationFuzzy Engineering Economics with Applications
EditorsCengiz Kahraman
Pages231-242
Number of pages12
DOIs
Publication statusPublished - 2008

Publication series

NameStudies in Fuzziness and Soft Computing
Volume233
ISSN (Print)1434-9922

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