Data Analysis Methods for Support Decision Making at Management of Complex Systems
- 10.2991/itids-19.2019.49How to use a DOI?
- Data mining, production rules, Kohonen maps/Self-organizing map, inference engine, decision support
Problems of organizing decision support in the management of complex systems based on data mining are discussed in this article; also, the state of the art is presented. The specificity of data used for analysis is noted, along with the array of historical and current data. The problem is stated, methods for organizing decision-making information support with set of recommendations are proposed. The proposed methodology includes collection and preparation of data for analysis, identification of new knowledge based on similarity of objects using clustering, their integration with expert knowledge, formalization of knowledge and formation of the knowledge base, obtaining solutions while making use of knowledge and inference engine. Tools for data mining, namely, the analytical platform Deductor Studio, are shown. The results of experimental studies based on the proposed method are provided. The system of production rules and the inference engine are proposed to use for organization of decision-making support. In this case, a consequent set of rules is presented in the form of recommendations for opening branch, which is shown as the boundary values of several characteristics. The boundary values are determined by results of an object entering the cluster, which is revealed by conducting cluster analysis using neural network apparatus. The specially developed software solution is used to implement solutions based on the system of production rules
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Nafisa Yusupova AU - Olga Smetanina AU - Ekaterina Sazonova PY - 2019/05 DA - 2019/05 TI - Data Analysis Methods for Support Decision Making at Management of Complex Systems BT - Proceedings of the 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019) PB - Atlantis Press SP - 273 EP - 278 SN - 1951-6851 UR - https://doi.org/10.2991/itids-19.2019.49 DO - 10.2991/itids-19.2019.49 ID - Yusupova2019/05 ER -