scholarly journals Development of a methodological approach for processing different types of data in systems of special purpose

2021 ◽  
Vol 6 (2(62)) ◽  
pp. 18-24
Author(s):  
Vitalii Fedoriienko ◽  
Oleksandr Koshlan ◽  
Serhii Kravchenko ◽  
Andrii Shyshatskyi ◽  
Nataliia Vasiukova ◽  
...  

The object of research is intelligent decision making support systems. Processing different types of intelligence from a variety of information sources requires significant computational operations with strict time constraints. It leads to the search for new scientific approaches to the processing of various types of geospatial information to increase the efficiency of special purpose systems. This work solves the problem of developing a methodological approach to processing different data types in decision making support systems. During the research, the authors used the main provisions of the queuing theory, the theory of automation, the theory of complex technical systems and general scientific methods of cognition, namely analysis and synthesis. The proposed methodological approach was developed taking into account the practical experience of the authors of this work during the military conflicts of the last decade. The results of the research will be useful in: – development of new algorithms for processing different types of data; – substantiation of recommendations for improving the efficiency of processing various data types; – analysis of the operational situation during the hostilities (operations); – creating promising technologies to increase the efficiency of processing various data types; – assessment of the adequacy, reliability, sensitivity of the scientific and methodological apparatus of processing various data types; – development of new and improvement of existing simulation models of various processing data types. Areas of further research will be aimed at developing a methodology for processing various data types in intelligent decision making support systems.

2005 ◽  
Vol 14 (3) ◽  
pp. 321-344 ◽  
Author(s):  
Manuel Mora ◽  
Guisseppi Forgionne ◽  
Francisco Cervantes ◽  
Leonardo Garrido ◽  
Jatinder N.D. Gupta ◽  
...  

Author(s):  
M. A. Pavlenko ◽  
◽  
S. V. Osiyevsʹkyy ◽  
O. A. Zolotukhina ◽  
◽  
...  

The model of support of processes of development of intelligent decision-making support systems (IDMSS) is presented. The model contains a description of methods and tools to support the processes of development of IDMSS, the structure of the repository of decision-making methods, architecture and methodology of development of a typical IDMSS. The methodology is based on such principles: use of existing solutions, scalability, accessibility, independence from the subject area, informativeness. Adherence to these principles is ensured by the use of ontological, microservice and framework approaches, as well as approaches to rapid prototyping and methodology of flexible software development. The main methodological provisions of using the model are based on elements of Web technologies and development of information and analytical resources. The means of support of IDMSS development processes are described in detail – ontology of the field of knowledge “Decision-making support”, information-analytical resource, repository of decision-making support methods (DMS), methods of IDMSS development. As a framework of IDMSS it is offered to use an information-analytical resource which is constructed on the basis of ontology of subject area and methods of the used technology. With the help of services connected to the resource, which implement the stored DMS methods, the functionality of the developed IDMSS is provided. The language of descriptive logic is used to describe the model of complex support. Architectural solutions for which the developer and user interface are deployed in a separate container are presented. A solution for storing content and ontologies of the subject area in the repository with the organization of access through services is proposed.


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