NDLI: Un Sistema Basado En Casos Para La Toma De Decisiones En Condiciones De Incertidumbre

Content Provider	Semantic Scholar
Author	Martínez, Iliana Gutiérrez Pérez, Rafael Bello Rodríguez, Andrés Tellería
Copyright Year	2002
Abstract	The development of techniques to consider the uncertainty in the process of making of decisions is one of the fundamental tasks of many investigators in the field of Artificial Intelligence. In Knowledge Based Systems, like particular systems for the making of decisions, the use of these techniques is of special consideration. In this article the problem of the uncertainty is analyzed in the Cases Based Systems and propose model that shows ways for its determination and handling, using probabilistic techniques combined with concepts of the Rough Sets theory. The proposed model is based in a case base organization, which allows the calculation of the certainty of the values as well as the recovery process.
Starting Page	103
Ending Page	121
Page Count	19
File Format	PDF HTM / HTML
Volume Number	23
Alternate Webpage(s)	http://rev-inv-ope.univ-paris1.fr/files/23202/IO-23202-1.pdf
Alternate Webpage(s)	http://rev-inv-ope.univ-paris1.fr/fileadmin/rev-inv-ope/files/23202/IO-23202-1.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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