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

Abstract

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.