Investment analysis using grey and fuzzy logic

Cengiz Kahraman, Ziya Ulukan

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

The theory of fuzzy logics founded by Zadeh in 1965 has been proven to be useful for dealing with uncertain and vague information. The grey theory that was first proposed by Deng (1982) avoids the inherent defects of conventional statistical methods and only requires a limited amount of data to estimate the behavior of unknown systems. In this paper, we use the fuzzy set theory and the grey theory to develop an efficient method to predict the cash flows of an investment. The cash flows obtained are used in present worth analysis to determine if the investment is acceptable. Illustrative examples are given.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıApplied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006
EditörlerPierre D'Hondt, Etienne E. Kerre, Da Ruan, Martine De Cock, Mike Nachtegael, Paolo F. Fantoni
YayınlayanWorld Scientific Publishing Co. Pte Ltd
Sayfalar283-290
Sayfa sayısı8
ISBN (Elektronik)9812566902, 9789812566904
DOI'lar
Yayın durumuYayınlandı - 2006
EtkinlikApplied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006 - Genova, Italy
Süre: 29 Ağu 200631 Ağu 2006

Yayın serisi

AdıApplied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006

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???event.eventtypes.event.conference???Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006
Ülke/BölgeItaly
ŞehirGenova
Periyot29/08/0631/08/06

Bibliyografik not

Publisher Copyright:
© 2006 by World Scientific Publishing Co. Pte. Ltd.

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