Artificial intelligence in business financial management
This article focuses on a review of the main techniques of Artificial Intelligencewith its different paradigms, from which the most important are: expert systems,neuronal networks, genetic algorithms, fuzzy logic, and the “Rough Sets” theorywith its different applications related to the field of Fin...
- Autores:
-
María Del Carmen Sosa Sierra
- Tipo de recurso:
- Fecha de publicación:
- 2011
- Institución:
- Universidad del Norte
- Repositorio:
- Repositorio Uninorte
- Idioma:
- spa
- OAI Identifier:
- oai:manglar.uninorte.edu.co:10584/4806
- Acceso en línea:
- http://rcientificas.uninorte.edu.co/index.php/pensamiento/article/view/3518
http://hdl.handle.net/10584/4806
- Palabra clave:
- Rights
- License
- http://purl.org/coar/access_right/c_abf2
Summary: | This article focuses on a review of the main techniques of Artificial Intelligencewith its different paradigms, from which the most important are: expert systems,neuronal networks, genetic algorithms, fuzzy logic, and the “Rough Sets” theorywith its different applications related to the field of Financial Management inbusinesses. It is considered that the directors or executives of companies could usethe new technologies or techniques that Artificial Intelligence offers in the makingof effective and efficient decisions while planning, executing and controlling thefinancial management aspect of their businesses. The previous aspect is done inorder to be able to face the challenges that the new global economic surroundingsimpose and the increasing technological innovations that companies in the XXIcentury face. |
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