Abstract
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.
| Original language | English |
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| Title of host publication | Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006 |
| Editors | Pierre D'Hondt, Etienne E. Kerre, Da Ruan, Martine De Cock, Mike Nachtegael, Paolo F. Fantoni |
| Publisher | World Scientific Publishing Co. Pte Ltd |
| Pages | 283-290 |
| Number of pages | 8 |
| ISBN (Electronic) | 9812566902, 9789812566904 |
| DOIs | |
| Publication status | Published - 2006 |
| Event | Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006 - Genova, Italy Duration: 29 Aug 2006 → 31 Aug 2006 |
Publication series
| Name | Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006 |
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Conference
| Conference | Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006 |
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| Country/Territory | Italy |
| City | Genova |
| Period | 29/08/06 → 31/08/06 |
Bibliographical note
Publisher Copyright:© 2006 by World Scientific Publishing Co. Pte. Ltd.