Investment Analyses Using Fuzzy Decision Trees

Kahraman C.

FUZZY ENGINEERING ECONOMICS WITH APPLICATIONS, vol.233, pp.231-242, 2008 (Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 233
  • Publication Date: 2008
  • Journal Name: FUZZY ENGINEERING ECONOMICS WITH APPLICATIONS
  • Journal Indexes: Scopus, zbMATH
  • Page Numbers: pp.231-242
  • Istanbul Technical University Affiliated: Yes

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.