Fuzzy future value and annual cash flow analyses

Nihan Çetin; Cengiz Kahraman

doi:10.1007/978-3-540-48061-7_32

Fuzzy future value and annual cash flow analyses

Nihan Çetin
, Cengiz Kahraman

Endüstri Mühendisliği Bölümü

Yildiz Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

3 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings
Editörler	Setsuo Ohsuga, Ning Zhong, Andrzej Skowron
Yayınlayan	Springer Verlag
Sayfalar	266-271
Sayfa sayısı	6
ISBN (Basılı)	3540666451, 9783540666455
DOI'lar	https://doi.org/10.1007/978-3-540-48061-7_32
Yayın durumu	Yayınlandı - 1999
Etkinlik	7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999 - Yamaguchi, Japan Süre: 9 Kas 1999 → 11 Kas 1999

Yayın serisi

Adı	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim	1711
ISSN (Basılı)	0302-9743
ISSN (Elektronik)	1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999
Ülke/Bölge	Japan
Şehir	Yamaguchi
Periyot	9/11/99 → 11/11/99

Bibliyografik not

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1999.

Belgeye Erişim

10.1007/978-3-540-48061-7_32

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Çetin, N., & Kahraman, C. (1999). Fuzzy future value and annual cash flow analyses. In S. Ohsuga, N. Zhong, & A. Skowron (Eds.), New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings (pp. 266-271). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Hac. 1711). Springer Verlag. https://doi.org/10.1007/978-3-540-48061-7_32

Çetin, Nihan ; Kahraman, Cengiz. / Fuzzy future value and annual cash flow analyses. New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings. editör / Setsuo Ohsuga ; Ning Zhong ; Andrzej Skowron. Springer Verlag, 1999. pp. 266-271 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{aecb9e924ee5417bb0fb8073dfd2c798,

title = "Fuzzy future value and annual cash flow analyses",

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.",

author = "Nihan {\c C}etin and Cengiz Kahraman",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1999.; 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999 ; Conference date: 09-11-1999 Through 11-11-1999",

year = "1999",

doi = "10.1007/978-3-540-48061-7\_32",

language = "English",

isbn = "3540666451",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "266--271",

editor = "Setsuo Ohsuga and Ning Zhong and Andrzej Skowron",

booktitle = "New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings",

address = "Germany",

}

Çetin, N & Kahraman, C 1999, Fuzzy future value and annual cash flow analyses. in S Ohsuga, N Zhong & A Skowron (eds), New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), hac. 1711, Springer Verlag, pp. 266-271, 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999, Yamaguchi, Japan, 9/11/99. https://doi.org/10.1007/978-3-540-48061-7_32

Fuzzy future value and annual cash flow analyses. / Çetin, Nihan; Kahraman, Cengiz.
New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings. ed. / Setsuo Ohsuga; Ning Zhong; Andrzej Skowron. Springer Verlag, 1999. p. 266-271 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Hac. 1711).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Fuzzy future value and annual cash flow analyses

AU - Çetin, Nihan

AU - Kahraman, Cengiz

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 1999.

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84958078200

U2 - 10.1007/978-3-540-48061-7_32

DO - 10.1007/978-3-540-48061-7_32

M3 - Conference contribution

AN - SCOPUS:84958078200

SN - 3540666451

SN - 9783540666455

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 266

EP - 271

BT - New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings

A2 - Ohsuga, Setsuo

A2 - Zhong, Ning

A2 - Skowron, Andrzej

PB - Springer Verlag

T2 - 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999

Y2 - 9 November 1999 through 11 November 1999

ER -

Çetin N, Kahraman C. Fuzzy future value and annual cash flow analyses. In Ohsuga S, Zhong N, Skowron A, editörler, New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings. Springer Verlag. 1999. p. 266-271. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-48061-7_32

Fuzzy future value and annual cash flow analyses

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap