Artificial Intelligence Artificial Neural Networks Fuzzy Inference Systems Classification Decision Support
Institute of Information Theories and Applications FOI ITHEA
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.