Abstract
This paper concerned with an architectural design of ontology-based decision support system intended to optimize the choice of problem-solving procedure of commutation circuit partitioning of the electronic computer during the design phase. Analysis of formal commutation circuit partitioning problems definition against the criteria was performed. A mathematical model of present problem was posed. The fundamental difference of this model is a consideration the criteria of inter-bay wiring and signal delay as local cost functions in the multicriteria optimization problem. In this paper a space of classification attributes of commutation circuit partitioning problems was designed: local cost functions, constraints, and initial data are defined. Data store and databank of ontology-based decision support system are presented as a CCP problems ontology and a problem-solving technique ontology. These domain ontologies were developed and visualized in Protégé 4.2.
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Acknowledgments
We thank collaborators of automated engineering system department for work results discussion. This research is provided by the Russian Foundation for Basic Research through grant #2.5537.2017/VU in Southern Federal University.
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Kureichik, V., Safronenkova, I. (2017). Ontology-Based Decision Support System for the Choice of Problem-Solving Procedure of Commutation Circuit Partitioning. In: Kravets, A., Shcherbakov, M., Kultsova, M., Groumpos, P. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2017. Communications in Computer and Information Science, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-65551-2_34
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DOI: https://doi.org/10.1007/978-3-319-65551-2_34
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