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The Relationship between Fuzzy Reasoning and its Temporal Characteristics for Knowledge Management Systems

Vasile Mazilescu

MPRA Paper from University Library of Munich, Germany

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.

Keywords: Knowledge Management; Artificial Reasoning; predictability (search for similar items in EconPapers)
JEL-codes: C63 C88 (search for similar items in EconPapers)
Date: 2010-02-17
New Economics Papers: this item is included in nep-cmp and nep-knm
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