The Relationship Between Fuzzy Reasoning and its Temporal Characteristics for Knowledge Management

dc.contributor.author	Mazilescu, Vasile
dc.contributor.author	Șarpe, Daniela
dc.date.accessioned	2012-06-22T09:00:41Z
dc.date.available	2012-06-22T09:00:41Z
dc.date.issued	2006-01
dc.identifier.issn	1584-0409
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/987
dc.description	Articolul face parte din Analele Universitatii "Dunarea de Jos" din Galati, Fascicula de Economie si Informatica Aplicata, An XII, nr.1, vol.1/2006	en_US
dc.description.abstract	The knowledge management systems based on artificial reasoning (KMAR) tries to provide computers the capabilities of performing various intelligent tasks for which their human users resort to their knowledge and collective intelligence. There is a need for incorporating aspects of time and imprecision into knowledge management systems, considering appropriate semantic foundations. The aim of this paper is to present the FRTES, a real-time fuzzy expert system, embedded in a knowledge management system. Our expert system is a special possibilistic expert system, developed in order to focus on fuzzy knowledge.	en_US
dc.language.iso	en	en_US
dc.publisher	Universitas Galatiensis	en_US
dc.subject	management	en_US
dc.subject	managementul cunoasterii	en_US
dc.subject	anticipare	en_US
dc.subject	judecata fictiva	en_US
dc.title	The Relationship Between Fuzzy Reasoning and its Temporal Characteristics for Knowledge Management	en_US
dc.type	Article	en_US