Abstract: In this paper a concept of designing and building intelligent decision support systems in production management is introduced. The new approach to the design of intelligent management systems is proposed based on integration of artificial intelligence technologies (fuzzy logic, artificial neural networks, expert systems and genetic algorithms) with exact methods and models of decisions search and simulation techniques. The proposed approach allows for creating intelligent decision support systems of complex, unstructured management problems in fuzzy conditions. The systems learn based on accumulated data and adapt to changes in operation conditions.

Keywords: artificial neural networks, fuzzy inference systems, classification, decision support system, intelligent manufacturing systems

ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence, J. Computer Applications J.6 Computer-Aided? Engineering

Link:

DESIGN CONCEPT OF INTELLIGENT MANAGEMENT SYSTEMS

Galina Setlak, Sławomir Pieczonka

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p20.pdf