NEURO-FUZZY AND KNOWLEDGE-BASED EXPERT SYSTEMS IN RISK MANAGEMENT

MIHAI ANGHEL, MARIA DUMITRESCU, VASILE TANISLAV

National R&D Institute for Cryogenics and Isotopes Technologies ICIT
Uzinei Street 4, 240050 Rm.Valcea, Romania; This e-mail address is being protected from spambots. You need JavaScript enabled to view it , This e-mail address is being protected from spambots. You need JavaScript enabled to view it , This e-mail address is being protected from spambots. You need JavaScript enabled to view it

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