Effects of inflation under fuzziness and some applications

Cengiz Kahraman*, Tufan Demirel, Nihan Demirel

*Corresponding author for this work

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

3 Citations (Scopus)


This chapter presents the ways of incorporating the parameter fuzzy inflation to the engineering economy analyses. Inflation is a financial parameter difficult to estimate. The fuzzy set theory gives us the possibility of converting linguistic expressions about inflation estimates to numerical values. In the chapter, discounted cash flow techniques including these fuzzy expressions and some numerical examples are given. The obtained results show the interval of the worst and the best possible outcomes when fuzzy inflation rates are taken into account.

Original languageEnglish
Title of host publicationFuzzy Engineering Economics with Applications
EditorsCengiz Kahraman
Number of pages10
Publication statusPublished - 2008

Publication series

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


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