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Methods of Conceptual Modeling of Intelligent Decision Support Systems for Managing Complex Objects at All Stages of Its Life Cycle

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Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) (IITI'18 2018)

Abstract

The article suggests a set of methods for conceptual modeling of the main components of specialized intelligent decision support systems: models and methods for integration and analysis of data, applications, a complex of distributed data and knowledge bases, the design of user interfaces and the organization of distributed computations as part of an intelligent computer-aided engineering system of specialized software. The detailed substantiation of application of a new intelligent information technology and its methods for information modeling of functioning of complex objects in various subject areas of state and industrial purpose is given.

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Acknowledgments

The research described in this paper is partially supported by the Russian Foundation for Basic Research (grants 16-07-00779, 16-08-00510, 16-08-01277, 16-29-09482-ofi-i, 17-08-00797, 17-06-00108, 17-01-00139, 17-20-01214, 17-29-07073-ofi-i, 18-07-01272, 18-08-01505), grant 074-U01 (ITMO University), state order of the Ministry of Education and Science of the Russian Federation №2.3135.2017/4.6, state research 0073–2018–0003, International project ERASMUS +, Capacity building in higher education, № 73751-EPP-1-2016-1-DE-EPPKA2-CBHE-JP, Innovative teaching and learning strategies in open modelling and simulation environment for student-centered engineering education.

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Bakhmut, A.D. et al. (2019). Methods of Conceptual Modeling of Intelligent Decision Support Systems for Managing Complex Objects at All Stages of Its Life Cycle. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 875. Springer, Cham. https://doi.org/10.1007/978-3-030-01821-4_18

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