Abstract
The paper presents the results of the experiments in which an efficiency of decision support systems is analyzed. During the research it was noted that the most influenced on such efficiency is the method of representation of knowledge base. Following approaches are considered due to experiments: rules knowledge base with clusters of decision rules, rules knowledge base with partial decision rules and rules knowledge base with clusters of partial decision rules. The efficiency of choosing the best similarity measure is also analyzed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
