Fuzzy future value and annual cash flow analyses

Nihan Çetin, Cengiz Kahraman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Cash amounts and interest rates are usually estimated by using educated guesses based on expected values or other statistical techniques to obtain them. Fuzzy numbers can capture the difficulties in estimating these parameters. Fuzzy equivalent uniform annual value, fuzzy future value are the methods examined with numeric examples in the paper. The paper also gives the ranking methods of fuzzy number.

Original languageEnglish
Title of host publicationNew Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings
EditorsSetsuo Ohsuga, Ning Zhong, Andrzej Skowron
PublisherSpringer Verlag
Pages266-271
Number of pages6
ISBN (Print)3540666451, 9783540666455
DOIs
Publication statusPublished - 1999
Event7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999 - Yamaguchi, Japan
Duration: 9 Nov 199911 Nov 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1711
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999
Country/TerritoryJapan
CityYamaguchi
Period9/11/9911/11/99

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1999.

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