Managerial Decision Support Making in Economic Systems Based on Cognitive Modeling

  • Authors

    • L. Filipkovska
    • O. Matviienko
    2018-09-15
    https://doi.org/10.14419/ijet.v7i4.3.19962
  • cognitive modeling, decision trees, economic systems, managerial decision support, methods of pattern recognition theory.

  • Abstract

    The research is devoted to the search for the technologies to support managerial decisions in the transport industry economic systems. The problems of the complex economic systems modelling have been identified. Cognitive modelling is considered as a tool of supporting intelligent decision making in economic systems. The modelling is based on methods of pattern recognition theory. The results of the scientific research are presented with structural-analytical models of decision support systems. Such models represent the knowledge processing to formulate recommendations for making managerial decisions. Knowledge based on the experience of managing a production situation should be stored in the knowledge base of the information decision making support system. Cognitive modeling will make it possible to study the problems that arise in unstable, weakly structured dynamic economic systems, taking into account changes of the external environment and the object of management itself, systematizing and verifying the expert's perception of the management object and its external environment, forecasting the values of economic system factors and generating optimal management strategies.

     

     

  • References

    1. [1] Khomiakov V.I., Menedzhment pidpryiemstva, Kyiv, (2009), 430 p.

      [2] Bazylevych V.D., Ekonomichna teoriia: Politekonomiia, Kyiv, Znannia, (2014), 710 p.

      [3] Abalkyn L., “Ot ekonomycheskoi teoryy do kontseptsyy dolhosrochnoi stratehyyâ€, Voprosy ekonomyky, 6, (2010), p.49, available online: http://www.vopreco.ru/rus/redaction.files/6-10.pdf.

      [4] Besedyn A.L., Teoryia upravlenyia sovremennoi orhanyzatsyei v turbulentnoi sotsyalno-ekonomycheskoi srede: vyzhyvanye, reformyrovanye y razvytye, Tula, Yzd-vo TulHU, (2004), 352 p.

      [5] Ansoff Y., Stratehycheskoe upravlenye, Moscow, Ekonomyka, (1989), 520 p.

      [6] Lobanova Z.Y., Metodolohyia yssledovanyia ekonomycheskykh system, Moscow,YNFRA-M, (2007), 84 p.

      [7] Skibitska L.I., Matvieiev V.V., Shchelkunov V.I. & Podrieza S.M., Antykryzovyi menedzhment, Kyiv, Tsentr uchbovoi literatury, (2014), 584 p.

      [8] Cherviachenko A.V., “Teoretychni pidkhody do vyznachennia efektyvnosti sotsialno-ekonomichnoi systemy ta yii vydova klasyfikatsiiaâ€, Ekonomika rozvytku, 1, (2014), pp. 46–48.

      [9] Bakanov M.Y., Melnyk MV & Sheremet AD, Teoryia ekonomycheskoho analyza, Moscow, Fynansy y statystyka, (2008), 536 p.

      [10] Berdnykova TB, Analyz y dyahnostyka fynansovo-khoziaistvennoi deiatelnosty predpryiatyia, Moscow, YNFRA-M, (2001), 215 p.

      [11] Hammer M. & Champy J., Reengineering the Corporation: A Manifesto for Business Revolution, Harper Collins Inc., New York, (1993), 332 p.

      [12] Skurykhin V.Y, Zabrodskiy V.A., Ivashchenko P.A. & Shtrasser O.H., Metody orhanyzatsyy adaptyvnoho planyrovanyia y upravlenyia v ekonomyko-proyzvodstvennykh systemakh, Kiev, Nauk. dumka, (1980), 272 p.

      [13] Romanov A.N. & Odyntsov B.E., Sovetuiushchye ynformatsyonnye systemy v ekonomyke, Moscow, YuNYTY-DANA, (2000), p. 487.

      [14] Kyzym N.A. & Klebanova T.S., Adaptyvnye modely v systemakh pryniatyia reshenyi, Kharkov, YD “Ynzhekâ€, (2007), 368 p.

      [15] Symankov V.S., Lutsenko E.V. & Laptev V.N., Systemnyi analyz v adaptyvnom upravlenyy, Krasnodar, Yn-t sovr. tekhnol. y ekon., (2001), 258 p.

      [16] Lutsenko E.V. & Horpynchenko K.N., “Syntez systemno-kohnytyvnoi modely pryrodno-ekonomycheskoi systemy, yspolzovanye dlia prohnozyrovanyia y upravlenyia v zernovom proyzvodstve (Chast 3 – Prohnozyrovanye y pryniatye reshenyi)â€, Nauchnyi zhurnal KubHAU, 90 (06), Krasnodar, KubHAU, (2013), available online: http://ej.kubagro.ru/2013/06/pdf/59.pdf.

      [17] Bourgine P. & Nadal J.-P., Cognitive Economics: An Interdisciplinary Approach, Berlin, Springer-verlag, (2004), 476 р.

      [18] Walliser B, Cognitive Economics, Berlin Heidelberg, Springer-Verlag, (2008), 185 p.

      [19] Abdykeev N.M., Averkyn A.N. & Efremova N.A., “Kohnytyvnaia ekonomyka v epokhu ynnovatsyiâ€, Vestnyk REA, 1, (2010), pp. 3–20.

      [20] Horelova H.V., “Kohnytyvnyi podkhod k ymytatsyonnomu modelyrovanyiu slozhnykh systemâ€, Yzvestyia YuFU. Tekhnycheskye nauky, 3, (2013), pp. 239-250.

      [21] Morhenshtern O, Dzh. fon Neiman, Teoryia yhr y ekonomycheskoe povedenye, Moscow, Knyha po Trebovanyiu, (2012), 708 p.

      [22] Filipkovska L.O., “Metodolohiia kohnityvnoho modeliuvannia ekonomichnykh system na osnovi teorii rozpiznavannia obrazivâ€, Sotsialno-ekonomichni aspekty rozvytku suspilstva: monohrafiia, Pid red. d-ra ekon. nauk, profesora Kyzyma M.O., Kharkiv, VD “Inzhekâ€, (2014), pp. 201–218.

      [23] Filipkovska L.O., “Korysnist u pryiniatti rishen za umov kohnityvnoho modeliuvannia v ekonomitsiâ€, Suchasni problemy modeliuvannia sotsialno-ekonomichnykh system, Berdiansk, Vydavets Tkachuk O.V., (2016), pp. 58–60.

      [24] Syrodzha Y.B., Stoian B.H., Protsenko V.S., Syrodzha Y.B. et al., “Strukturno-analytycheskyi metod mashynnoho raspoznavanyia obrazov s raznotypnymy pryznakamyâ€, Teoryia R-funktsyi y aktualnye problemy prykladnoi matematyky, Kyev, (1986), pp. 212–244.

      [25] Filipkovskaia L.A., “Yssledovanye strukturno–analytycheskoi modely raspoznavanyia obrazov v zadachakh upravlenyia y dyahnostykyâ€, Problemy byonyky, 53, Kharkov, KhNURE, (2000), pp. 51–53.

      [26] Filipkovska L.O., Matviienko O.O. & Nikitenko S.V., “Formuvannia pervynnykh znan pro stany aviatransportnoho pidpryiemstva dlia diahnostuvannia yoho ekonomichnoi bezpekyâ€, Biznes Inform, 5 (448), Kharkiv, VD “Inzhekâ€, (2015), pp. 165–172.

      [27] Yachmeneva V.M., “Predstavlenye ekonomycheskoi ustoichyvosty deiatelnosty predpryiatyiâ€, Ekonomyka y upravlenye, 4-5, (2007), pp. 107–112.

      [28] Filipkovskaia L.A., “Ynformatsyonnaia tekhnolohyia klassyfykatsyonnoi obrabotky dannykh proyzvodstvennykh sytuatsyiâ€, Visn. Nats. tekhn. un-ta “Khark. politekhn. in-tâ€, 7, Kharkov, NTU “KhPIâ€, (2003), pp. 93–98.

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  • How to Cite

    Filipkovska, L., & Matviienko, O. (2018). Managerial Decision Support Making in Economic Systems Based on Cognitive Modeling. International Journal of Engineering & Technology, 7(4.3), 588-592. https://doi.org/10.14419/ijet.v7i4.3.19962

    Received date: 2018-09-21

    Accepted date: 2018-09-21

    Published date: 2018-09-15