Progress of Cryogenics and Isotopes Separation , ISSN: 1582-2575
2008, Volume 11, Issue 21+22

Neuro-Fuzzy And Knowledge-Based Expert Systems In Risk Management

Mihai Anghel * , Maria Dumitrescu , Vasile Tanislav

National R&D Institute for Cryogenics and Isotopic Technologies, Ramnicu Valcea

*Corresponding author: Mihai Anghel, e-mail:

Published: June 2008


Risk assessment using artificial intelligence techniques can reduce costs and confer agility to the decisions. When knowledge is intricate, fraught with uncertainties or little known about the inter-variable relationships, Neuro-Fuzzy and Knowledge-Based Expert Systems can be useful at gathering disperse information and accumulating certainty about a fact. Frequently the knowledge of professionals as well as field observations is the main source of information to establish a knowledge base capable of evaluating critical situations.

This work describes a new methodology to solve risk analysis problems using Fuzzy and Knowledge-Based Expert systems with application in the risk management.



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