Abstract: 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).

Keywords: Intelligent decision support systems, temporal reasoning, analogous and case-based reasoning.

ACM Classification Keywords: H.4.2 Information systems applications: Types of systems – Decision support; I.2.4 Artificial intelligence: Knowledge Representation Formalisms and Methods – Temporal logic; I.2.5 AI: Programming Languages and Software – Expert system tools and techniques; I.2.6 AI: Learning – Analogies

Link:

APPLICATION OF TEMPORAL REASONING AND CASE-BASED REASONING IN INTELLIGENT DECISION SUPPORT SYSTEMS

Alexander Eremeev, Ivan Kurilenko, Pavel Varshavskiy

http://www.foibg.com/ibs_isc/ibs-10/ibs-10-p01.pdf