Importance The complexity of the development and adoption of administrative and economic decisions justifies the creation and use of decision support systems. The content of the main methodological aspects of the establishment and functioning of the systems define possible applications of such systems, and this determines the relevance of research. Objectives We aimed to substantiate the choice of major methodological aspects of the establishment and operation of decision support systems, as well as disclose their possible content indicating the diversity of such systems. Methods To identify the main methodological aspects of the establishment and operation of decision support systems and describe the possible content of each of them affecting the specifics, the border and the possibilities of a decision support system, we used the methods of logical and system analyses. Results The result of the study is a dedicated list of methodological aspects of the establishment and operation of decision support systems, as well as the possible content of each of these aspects. The content of the methodological aspects of a particular decision-support system creation determines its specificity, border, and possibilities. This includes a possible outcome of decision support systems, the methodological information coverage of the decision support system, the decision support system's structure, and a variant of solutions within the system. Conclusions and Relevance When creating a specific decision-support system, one should consider the possible content of each particular methodological aspect, which corresponds to the objective of creating this particular system.
Keywords: decision support system, methodological aspects, creation, possible results, operation, coverage, methodological information, structure, variant, generating solutions
References:
Andreichikov A.V., Ivanyuk V.A. Kachestvennyi analiz razvitiya malogo predprinimatel'stva v Volgogradskoi oblasti na osnove metoda analiza ierarkhii [A qualitative analysis of the development of small business in the Volgograd region on the basis of a method of analysis of hierarchies]. Available at: Link. (In Russ.)
Babkin E.A., Vizgunov A.N., Kurkin A.A., Kozyrev O.R. Obshchie printsipy postroeniya intellektual'nykh sistem podderzhki prinyatiya reshenii [The general principles of creation of intellectual decision-support systems]. Nizhny Novgorod, Litera Publ., 2011, 306 p.
Belyaeva S.V. Razrabotka sistemy podderzhki prinyatiya reshenii v vuze s primeneniem protsessnogo, proektnogo i kompetentnostnogo podkhodov [Development of a decision support system in higher education with the use of process, project and competence-based approaches]. Audit i finansovyi analiz = Audit and financial analysis, 2010, no. 2, pp. 126–131.
Varshavskii P.R., Eremeev A.P. Poisk resheniya na osnove strukturnoi analogii dlya intellektual'nykh sistem podderzhki prinyatiya reshenii [A search for solutions on the basis of structural analogy for intelligent decision-support systems]. Izvestiya Rossiiskoi akademii nauk. Teoriya i sistemy upravleniya = Proceedings of Russian Academy of Sciences. Theory and control systems, 2005, no. 1, pp. 97–109.
Gelovani V.A., Bashlykov A.A., Britkov V.B., Vyazilov E.D. Intellektual'nye sistemy podderzhki prinyatiya reshenii v neshtatnykh situatsiyakh s ispol'zovaniem informatsii o sostoyanii prirodnoi sredy [C-systems of decision-making support in emergency situations with the use of information on the state of the natural environment]. Available at: Link. (In Russ.)
Gol'fand I.Ya., Krapukhina N.V. Razrabotka SPPR na osnove upravleniya stoimost'yu predpriyatiya v usloviyakh neopredelennosti [The development of a decision support system based on the cost management of an enterprise under conditions of uncertainty]. Prikladnaya informatika = Applied computer science, 2009, no. 5, pp. 94–102.
Jackson P. Vvedenie v ekspertnye sistemy [Introduction to Expert Systems]. Moscow, Vil'yams Publ., 2001, 624 p.
Kargin V.A., Maidanovich O.V., Okhtilev M.Yu. Avtomatizirovannaya sistema informatsionnoi podderzhki prinyatiya reshenii po kontrolyu v real'nom vremeni sostoyaniya raketno-kosmicheskoi tekhniki [An automated system of information support of decision-making for real time control of the rocket and space technology]. Izvestiya vysshikh uchebnykh zavedenii. Priborostroenie = Proceedings of higher educational institutions. Instrument engineering, 2010, vol. 53, no. 11, pp. 20–23.
Kureichik V.M. Osobennosti postroeniya sistem podderzhki prinyatiya reshenii [Features of construction of decision support systems]. Available at: Link. (In Russ.)
Lavrov E.A., Pas'ko N.B. Modeli dlya obosnovaniya struktury sistemy podderzhki prinyatiya reshenii operatora-rukovoditelya [Models to support the decision-support system’s structure for the head operator]. Vostochno-Evropeiskii zhurnal peredovykh tekhnologii = East-European journal of advanced technology, 2010, vol. 1, no. 5, pp. 58–62.
Lychkina N.N. Komp'yuternoe modelirovanie sotsial'no-ekonomicheskogo razvitiya regionov v sistemakh podderzhki prinyatiya reshenii [Computer modelling of socio-economic development of the regions in decision support systems]. Available at: Link. (In Russ.)
Morozov A.A., Klimenko V.P., Lyakhov A.L., Aleshin S.P. Sostoyanie i perspektivy neirosetevogo modelirovaniya SPPR v slozhnykh sotsiotekhnicheskikh sistemakh [The status and prospects of neural network modeling of decision support system in complex social engineering systems]. Matematicheskie mashiny i sistemy = Mathematical machines and systems, 2010, vol. 1, no. 1, pp. 127–149.
Puchkov E.V. Razrabotka sistemy podderzhki prinyatiya reshenii dlya upravleniya kreditnymi riskami banka [The development of a decision support system for the bank credit risk management]. Inzhenernyi vestnik Dona = Engineering Journal of Don, 2011, vol. 15, no. 1, pp. 410–419.
Romanov V.P. Intellektual'nye informatsionnye sistemy v ekonomike [Intelligent information systems in economy]. Moscow, Ekzamen Publ., 2003, 496 p.
Simankov V.S., Cherkasov A.N. Metodologicheskoe obespechenie etapov podderzhki prinyatiya reshenii pri sinteze slozhnykh system [Methodological support to decision-support phases in the synthesis of complex systems]. Available at: Link-2012.pdf#page=85. (In Russ.)
Smirnova G.N., Sorokin A.A., Tel'nov Yu.F. Proektirovanie ekonomicheskikh informatsionnykh system [Design of economic information systems]. Moscow, Finansy i statistika Publ., 2002, 223 p.
Yurkov A.V. Svobodnye distantsionnye kursy kak atribut i faktor konkurentosposobnosti vedushchikh universitetov [Free distance courses as an attribute and factor of competitiveness of major universities]. Prikladnaya informatika = Applied computer science, 2014, no. 5, pp. 41–49.
Brans J.P., Mareschal B. The PROMCALC & GAIA decision support system for multi-criteria decision aid. Decision Support Systems, 1994, vol. 12, no. 4, pp. 297–310.
Fang C., Marle F. A simulation-based risk network model for decision support in project risk management. Decision Support Systems, 2012, vol. 52, no. 3, pp. 635–644.
Grabski S.V., Leech S.A., Schmidt P.J. A review of ERP research: A future agenda for accounting information systems. Journal of Information Systems, 2011, vol. 25, no. 1, pp. 37–78.
March S.T., Hevner A.R. Integrated decision support systems: A data warehousing perspective. Decision Support Systems, 2007, vol. 43, no. 3, pp. 1031–1043.
Ngai E.W.T., Hu Y., Wong Y.H., Chen Y., Sun X. The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature. Decision Support Systems, 2011, vol. 50, no. 3, pp. 559–569.
Shim J.P., Warkentin M., Courtney J.F., Power D.J., Sharda R., Carlsson C. Past, present, and future of decision support technology. Decision Support Systems, 2002, vol. 33, no. 2, pp. 111–126.
