Investment Analyses Using Fuzzy Decision Trees

Kahraman C.

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

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 233
  • Basım Tarihi: 2008
  • Dergi Adı: FUZZY ENGINEERING ECONOMICS WITH APPLICATIONS
  • Derginin Tarandığı İndeksler: Scopus, zbMATH
  • Sayfa Sayıları: ss.231-242
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

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.