ARTICLE
TITLE

INTELLIGENT DECISION SUPPORT SYSTEMS MODELING USING ONTOLOGICAL APPROACH

SUMMARY

The functioning of intelligent decision support systems with knowledge base based on ontology is investigated. Four types of intelligent agents are considered. Metrics for each of them is developed and used to determine the relevance of solutions proposed by the system.

PAGES
COLLECTIONS
Computing
Technology

 Articles related

Junhong Ma    

It aims to apply the neural network algorithm to the mining of educational resource data and provide new ideas for the intelligent development of teaching evaluation. The potential correlations between the teaching evalua-tion results and the teacher’s a... see more


(1) Aween Abubakr Saeed (Sulaimani Polytechnic University, Iraq) (2) Noor Ghazi Mohammed Jameel (Sulaimani Polytechnic University, Iraq)    

The explosive development of information technology is increasingly rising cyber-attacks. Distributed denial of service (DDoS) attack is a malicious threat to the modern cyber-security world, which causes performance disruption to the network servers. It... see more


Haruna Chiroma,Adeleh Asemi Zavareh,Mohd Sapiyan Baba,Adamu I. Abubakar,Abdulsalam Ya’u Gital,Fatima Umar Zambuk    

This research studies the application of hybrid algorithms for predicting the prices of crude oil. Brent crude oil price data and hybrid intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build i... see more


Abdullah M. Al Ghoson    

Decision tree induction and Clustering are two of the most prevalent data mining techniques used separately or together in many business applications. Most commercial data mining software tools provide these two techniques but few of them satisfy busines... see more


Florin Gheorghe Filip    

Book Review:"Biometric and Intelligent Decision Making Support"