Abstract: The method of case-based reasoning for a solution of problems of real-time diagnostics and forecasting in intelligent decision support systems (IDSS) is considered. Special attention is drawn to case library structure for real-time IDSS (RT IDSS) and algorithm of k-nearest neighbors type. This work was supported by RFBR.

Keywords: Intelligent decision support systems, expert diagnostics systems, analogous reasoning, case-based reasoning.

ACM Classification Keywords: H.4.2 Information systems applications: Types of systems – Decision support; I.2.5 Artificial intelligence: Programming Languages and Software – Expert system tools and techniques; I.2.6 Artificial intelligence: Learning – Analogies.

Link:

CASE-BASED REASONING METHOD FOR REAL-TIME EXPERT DIAGNOSTICS SYSTEMS

Alexander Eremeev, Pavel Varshavskiy

http://www.foibg.com/ijita/vol15/ijita15-2-p04.pdf