2008, Volume 11, Issue 21+22
Neuro-Fuzzy And Knowledge-Based Expert Systems In Risk Management
National R&D Institute for Cryogenics and Isotopic Technologies, Ramnicu Valcea
*Corresponding author: Mihai Anghel, e-mail: firstname.lastname@example.orgPublished: 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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