Special Issue: Knowledge-based intelligent systems and their applications
Ignac Lovrek, Robert James Howlett, Chee Peng Lim, Lakhmi C. Jain, Gloria E Phillips-Wren · Journal of Intelligent & Fuzzy Systems · 2010
Intelligent techniques derived from knowledge-based engineering and related computing paradigms have provided useful concepts and tools to undertake a variety of real-world problems.These systems mimic the analytical and learning capabilities of the human brain.They harness the benefits of knowledge and intelligence to form an integrated framework for problem solving.In this special issue, a total of thirteen articles comprising extended papers from the 12th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2008) as well as from other submissions that highlight a small number of innovative knowledge-based intelligent systems and their applications to solving problems in different domains are presented.A summary of each article is as follows.With the development of advanced travelers information systems, it is important to have a prompt and accurate travel time prediction system for road networks.In the first article, two travel time prediction algorithms using naïve Bayesian classification and rulebased classification are proposed.Based on a historical traffic database, the algorithms are able to yield high accuracy in travel time prediction.The algorithms are also useful for road networks with arbitrary travel routes.The results also reveal that naïve Bayesian classification produces better mean absolute relative error than that of rule-based classification.For large-scale complex process plants that involve safety critical systems, real-time diagnosis is an important aspect.In the second article, an ontology for