| Título |
Dependence relationships modelling in financial appraisal under uncertainty |
| Autores |
GARCÍA ALONSO, CARLOS, AMADOR HIDALGO, FRANCISCO, Brebbia C.A. |
| Publicación externa |
No |
| Medio |
Manage. Inf.Syst. |
| Alcance |
Conference Paper |
| Naturaleza |
Científica |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-2942603029&partnerID=40&md5=14947c68bccc8108aebbd329446aa03a |
| Fecha de publicacion |
01/01/2002 |
| Scopus Id |
2-s2.0-2942603029 |
| Abstract |
A fuzzy inference engine has been designed and developed for modeling dependence relationships. This methodology offers a more realistic assessment of financial risk in uncertainty environments. Fuzzy logic can be used to represent the structure of imprecise relationships between different financial parameters. The financial appraisal considering relationships reduces the iteration number. The. |
| Palabras clave |
Computer simulation; Computer software; Decision making; Finance; Fuzzy sets; Mathematical models; Monte Carlo methods; Probability distributions; Problem solving; Project management; Statistical meth |
| Miembros de la Universidad Loyola |
|
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