@inbook{7a808f26cfee4a718fba16a68449877e,
title = "Investment analyses using fuzzy decision trees",
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.",
author = "Cengiz Kahraman",
year = "2008",
doi = "10.1007/978-3-540-70810-0\_14",
language = "English",
isbn = "9783540708094",
series = "Studies in Fuzziness and Soft Computing",
pages = "231--242",
editor = "Cengiz Kahraman",
booktitle = "Fuzzy Engineering Economics with Applications",
}