APPLICATION OF TEMPORAL REASONING AND CASE-BASED REASONING IN INTELLIGENT DECISION SUPPORT SYSTEMS
Alexander Eremeev, I. E. Kurilenko, Pavel Varshavskiy · 2009
In this paper the problem of the application of temporal reasoning and case-based reasoning (CBR) in intelligent decision support systems (IDSS) is consider. To reduce static algorithm complexity of temporal reasoning some methods are investigated. The dynamic algorithm for qualitative temporal reasoning on the base of point algebra is presented. CBR method for a solution of problems of real-time diagnostics and forecasting in IDSS is described. This paper demonstrates how the temporal reasoning system and CBR system can be used in IDSS of the car access control. This work was supported by RFBR and grant of President of Russia (МК-6009.2008.9).