Abstract: Modeling of reasoning in intelligent systems on the example of intelligent decision support system of real time by means of integration of methods based on case-based reasoning (accumulated experience) and inductive notion formation in the presence of noisy data are considered.

Keywords: intelligent decision support system, real time, plausible reasoning, modeling, case-based, inductive notion formation, noisy data.

Link:

MODELING OF REASONING IN INTELLIGENT DECISION SUPPORT SYSTEMS BY INTEGRATION OF METHODS BASED ON CASE-BASED REASONING AND INDUCTIVE NOTIONS FORMATION

Alexander Eremeev, Marina Fomina

http://www.foibg.com/ijicp/vol01/ijicp01-01-p05.pdf