Abstract: This paper aims at development of procedures and algorithms for application of artificial intelligence tools to acquire process and analyze various types of knowledge. The proposed environment integrates techniques of knowledge and decision process modeling such as neural networks and fuzzy logic-based reasoning methods. The problem of an identification of complex processes with the use of neuro-fuzzy systems is solved. The proposed classifier has been successfully applied for building one decision support systems for solving managerial problem.

Keywords: artificial intelligence, artificial neural networks, fuzzy inference systems, classification, decision support.

ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence

Link:

THE FUZZY-NEURO CLASSIFIER FOR DECISION SUPPORT

Galina Setlak

http://www.foibg.com/ijita/vol15/ijita15-1-p03.pdf