Logo del repository
  1. Home
 
Opzioni

Multiattribute Metodologies in Financial Decision Aid

Mattia Ciprian
•
KAUCIC, MASSIMILIANO
•
Giulia Nogherotto
altro
Danilo Di Stefano
2007
  • book part

Abstract
This chapter introduces the capability of the numerical multi-dimensional approach to solve complex problems in finance. It is well known how, with the growth of computational resource, scientists have developed numerical algorithms for the resolution of complex systems, in order to find the relations between the different components. One important field in this research is focused on the mimic of nature behavior to solve problems. In this chapter two technologies based on these techniques, self-organizing maps and multi-objectives genetic algorithm, have been used to solve two important fields in finance: the country risk assessment and the time series forecasting. The authors, through the examples in the chapter, would like to demonstrate how a multi-dimensional approach based on the mimic of nature could be useful to solve modern complex problems in finance.
DOI
10.4018/978-1-59140-984-7
Archivio
http://hdl.handle.net/11368/2761974
Diritti
metadata only access
Soggetti
  • Biologically-Inspired...

  • MOGA

  • Self-organizing map

  • country risk

  • Time Series Forecasti...

Visualizzazioni
6
Data di acquisizione
Apr 19, 2024
Vedi dettagli
google-scholar
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your nstitution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Realizzato con Software DSpace-CRIS - Estensione mantenuta e ottimizzata da 4Science

  • Impostazioni dei cookie
  • Informativa sulla privacy
  • Accordo con l'utente finale
  • Invia il tuo Feedback