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Effects of Inflation under Fuzziness and Some Applications

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dc.contributor.authorKahraman, Cengiz
dc.contributor.authorDemirel, Tufan
dc.contributor.authorDemirel, Nihan
dc.date.accessioned2026-01-29T04:52:39Z
dc.date.issued2008-01-01
dc.description.abstractThis 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.
dc.description.urihttps://doi.org/10.1007/978-3-540-70810-0_11
dc.description.urihttps://dx.doi.org/10.1007/978-3-540-70810-0_11
dc.identifier.doi10.1007/978-3-540-70810-0_11
dc.identifier.openairedoi_dedup___::8ec19d2280528a58b7afa5624e8c96c3
dc.identifier.orcid0000-0003-3051-5067
dc.identifier.orcid0000-0001-5563-2564
dc.identifier.urihttps://hdl.handle.net/11527/68134
dc.publisherSpringer Berlin Heidelberg
dc.sdg.typeGoal 8: Decent Work and Economic Growth
dc.titleEffects of Inflation under Fuzziness and Some Applications
dc.typeBook Part
dspace.entity.typePublication

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