Development of a comprehensive methodology for assessing information and analytical support in decision support systems

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.263156

Keywords:

information and analytical support, fuzzy cognitive models, computational complexity, system of indicators, fuzzy models

Abstract

The object of the study is decision support systems. A methodology for evaluating information and analytical support in decision support systems was developed. The method consists of the main stages: assessment of the type of uncertainty about the state of the analysis object, calculation of criteria and determination of development options, determination of system reaction time, formation of the initial scenario. The next steps are establishing the target state of the object, analyzing options for influencing the analysis object, obtaining intermediate target states of the analysis object, and determining options for the development of the analysis object.

The method was developed because of the need to process more information and has a moderate computational complexity.

It was found that the proposed method has a computational complexity of 10–15 % lower compared to the methods for evaluating the effectiveness of management decisions. This method will allow assessing the state of information and analytical support and determining effective measures to increase efficiency. The method will allow analyzing possible options for the development of the assessment object in each development phase and the moments in time when it is necessary to carry out structural changes that ensure the transition to the next phase. In this case, subjective factors of choice are taken into account while searching for solutions, which are formalized in the form of weights for the components of the integral efficiency criterion. The maximization of the criteria, calculated taking into account the preferences, makes it possible to determine the best option for the development of the assessment object. The method allows increasing the speed of assessment of the state of information and analytical support, reducing the use of computing resources of decision support systems, developing measures aimed at increasing the efficiency of information and analytical support

Author Biographies

Qasim Abbood Mahdi, Al-Taff University College

PhD, Head of Department

Department of Computer Technologies Engineering

Basem Abdullah Mohammed, Bilad Alrafidain University College

PhD, Lecturer

Department of Aeronautical Techniques Engineering

Olha Salnikova, General Directorate of Military Cooperation Ukrainian Armed Forces

Doctor of Public Administration, Senior Researcher, Deputy Chief

Oleksandr Skliar, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

Adjunct

Department of Land Forces

Command and Staff Institute of Troops (Forces) Employment

Serhii Skorodid, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD, Professor

Department of Land Forces

Command and Staff Institute of Troops (Forces) Employment

Vasil Panasiuk, Hetman Petro Sahaidachnyi National Army Academy

PhD, Associate Professor

Department of Tactical Special Disciplines

Andrii Veretnov, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine

PhD, Leading Researcher

Research Department

Oleh Shknai, Military Unit A1906

PhD, Leading Researcher

Research Department

Yevgen Prokopenko, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD, Head

Research Laboratory for Strategic Communications Development Problems

Educational and Scientific Center for Strategic Communications in the Field of National Security and Defense

Sergij Pyvovarchuk, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Head of Department

Department of Combat use of Communication Units

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Published

2022-08-31

How to Cite

Mahdi, Q. A., Mohammed, B. A., Salnikova, O., Skliar, O., Skorodid, S., Panasiuk, V., Veretnov, A., Shknai, O., Prokopenko, Y., & Pyvovarchuk, S. (2022). Development of a comprehensive methodology for assessing information and analytical support in decision support systems . Eastern-European Journal of Enterprise Technologies, 4(4 (118), 19–26. https://doi.org/10.15587/1729-4061.2022.263156

Issue

Vol. 4 No. 4 (118) (2022): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2022 Qasim Abbood Mahdi, Basem Abdullah Mohammed, Olha Salnikova, Oleksandr Skliar, Serhii Skorodid, Vasil Panasiuk, Andrii Veretnov, Oleh Shknai, Yevgen Prokopenko, Sergij Pyvovarchuk

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