Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

On Situation Control Problem Settings with Multiple Stakeholders Using Cognitive Maps

  • Large Scale Systems Control
  • Published:
Automation and Remote Control Aims and scope Submit manuscript

Abstract

We propose control problem settings for a situation with multiple active subjects and a general scheme of their solution using cognitive maps. We identify some promising areas of application where these problems can be needed and areas for further research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Abaev, L.Ch., On Current Approaches to Modeling International Relations, Probl. Natsional. Strategii, 2011, no. 2(7), pp. 31–48.

    Google Scholar 

  2. Abramova, N.A., Avdeeva, Z.K., and Fedotov, A.A., A Taxonomy of Theoretical Models of Formal Cognitive Maps: General Approach and Its Application, Proc. IX Intl. Conf. “Cognitive Analysis and Control of Situation Development,” CASC’2011, Moscow: ICS RAS, 2011, pp. 120–129.

    Google Scholar 

  3. Abramova, N.A. and Voronina, T.A., On One Experiment of Placing Influence Weights on a Cognitive Map, Proc. Intl. Conf. “Cognitive Science in Moscow: New Studies”, Moscow: Inst. Aging Physiology RAS, 2011, pp. 131–142.

    Google Scholar 

  4. Abramova, N.A., Voronina, T.V., and Fedotov, A.A., On the Mechanisms of Constructing Estimates of the Values of Influence Factors and Weights in Cognitive Maps, Proc. IX Russian School-Conf. of Young Researchers “Control of Large Systems,” 2012, vol. 1, pp. 111–114.

    Google Scholar 

  5. Abramova, N.A. and Portsev, R.Yu., Reflexive Approach to Analyzing the Justifiability of Security Measures for a System Based on the Methodology of Cognitive Modeling, Proc. XXIII Intl. Conf. “Security Control Problems for Complex Systems,” Moscow: ICS RAS, 2015, pp. 349–353.

    Google Scholar 

  6. Avdeeva, Z.K. and Kovriga, S.V., Approach to Setting Control Problems on a Cognitive Model of a Situation for Strategic Monitoring, Upravlen. Bol’sh. Sist., 2016, no. 59, pp. 120–146.

    Google Scholar 

  7. Gorelova, G.V. and Ryabtsev, V.N., Cognitive Approach to Studying Geopolitical Processes in World Regions and Cognitive Modeling of Their Development (with the Example of the Black and Caspian Sea Region), Electronic Research J. “Inzhenernyi Vestnik Dona”, 2012, no. 4 (part 2). http://vww.ivdon.ru/ru/magazine/archive/n4p2y2012/1407 (Accessed at 24.07.2017).

    Google Scholar 

  8. Averkin, A.N., Kuznetsov, O.P., Kulinich, A.A., and Titova, N.V., Decision Making Support in Weakly Structured Domains. Situation Analysis and Estimation of Alternatives, Izv. Ross. Akad. Nauk, Teor. Sist. Upravlen., 2006, no. 3, pp. 139–149.

    Google Scholar 

  9. Davydov, S.V. and Maksimov, V.I., Multicriterial Hierarchical Estimation of a Situation in Cognitive Modeling, Proc. 1st Intl. Conf. Cognitive Analysis and Control of Situation Development (CASC 2001), Moscow: ICS RAS, 2001, vol. 1, pp. 173–196.

    Google Scholar 

  10. Dudenkov, D.A., A Stakeholder-Oriented Model of a Company in Corporate Control Theory, Vest. Saratov. Gos. Sots.-Ekonom. Univ., 2014, no. 1, pp. 50–53.

    Google Scholar 

  11. Korgin, N.A. and Kulivets, S.G., Information Control Model Based on a Game on a Linear Cognitive Map, Upravlen. Bol’sh. Sist., 2011, no. 35, pp. 94–113.

    Google Scholar 

  12. Kulivets, S.G., Modeling a Conflict Situation with Incompatible Agent Beliefs Based on Games on Linear Cognitive Maps, Probl. Upravlen., 2010, no. 4, pp. 42–48.

    Google Scholar 

  13. Kulinich, A.A., A Decision Making Support Model for Forming a Coalition Under Uncertainty, Iskusstv. Intellekt Prinyat. Resh., 2012, no. 2, pp. 27–38.

    Google Scholar 

  14. Leonova, N.V., Using Methods of Multicriterial Decision Making under Mixed Strategies for Macroeco-nomic Analysis, Ekonom. Nauki, 2013, no. 4(101), pp. 167–172.

    Google Scholar 

  15. Maksimov, V.I. and Kornoushenko, E.K., Analytic Foundations of Applying the Cognitive Approach for Solving Weakly Structured Problems, Proc. ICS RAS, Moscow: ICS RAS, 1999, vol. 2, pp. 95–109.

    Google Scholar 

  16. Abramova, N.A. and Telitsyna, T.A., An Approach to Analysis of Expert Estimation Validity in Cognitive Mapping, IFAC Conf. on Manufacturing Modelling, Management, and Control (MIM), 2013, pp. 927–932.

    Google Scholar 

  17. Freeman, R.E., Strategic Management: A Stakeholder Approach, Boston: Pitman, 1984.

    Google Scholar 

  18. Freeman, R.E., et al., Stakeholder Theory: The State of the Art, New York: Cambridge Univ. Press, 2010.

    Book  Google Scholar 

  19. Gray, S., Chan, A., Clark, D., and Jordan, R., Modelling the Integration of Stakeholder Knowledge in Social-Ecological Decision-Making: Benefits and Limitations to Knowledge Diversity, Ecological Modelling, 2012, vol. 229, pp. 88–96.

    Article  Google Scholar 

  20. Hester, P., Analyzing Stakeholders Using Fuzzy Cognitive Mapping, Proc. Computer Sci., 2015, vol. 61, pp. 92–97.

    Article  Google Scholar 

  21. Ormerod, P. and Riordan, S., New Approach to the Analysis of Geo-Political Risk, Diplomacy Statecraft, 2004, vol. 15, no. 4, pp. 643–654.

    Article  Google Scholar 

  22. Ozesmi, U. and Ozesmi, S., Ecological Models Based on People’s Knowledge: A Multi-Step Fuzzy Cognitive Mapping Approach, Ecolog. Model ling, 2004, vol. 176, pp. 43–64.

    Article  Google Scholar 

  23. Papageorgiou, E., Review Study on Fuzzy Cognitive Maps and Their Applications During the Last Decade, in Business Process Management, Glykas, M., Ed., Berlin: Springer-Verlag, 2013, pp. 281–298.

    Chapter  Google Scholar 

  24. Papageorgiou, E. and Kontogianni, A., Using Fuzzy Cognitive Mapping in Environmental Decision Making and Management: A Methodological Primer and an Application, in International Perspectives on Global Environmental Change, Young, S., Ed., London: InTechOpen, 2012, pp. 428–450.

    Google Scholar 

  25. Shayji, S., Kadhi, N., and Wang, Z., Fuzzy Cognitive Map Theory for the Political Domain, Proc. Federated Conf. on Computer Science and Information Systems, Szczecin, Poland, 2011, pp. 179–186.

    Google Scholar 

  26. Simon, H. and Newell, A., Heuristic Problem Solving: The Next Advance in Operations Research, Operat. Res., 1958, vol. 6, no. 1, pp. 1–10.

    Article  Google Scholar 

  27. Tsadiras, A.K. and Kouskouvelis, I., Using Fuzzy Cognitive Maps as a Decision Support System for Political Decisions: The Case of Turkey’s Integration into the European Union, in Advances in Informatics, Proc. of 10th Panhellenic Conf. on Informatics, PCI2005, Bozanis, P. and Houstis, E.N., Eds., Berlin: Springer-Verlag, 2005, pp. 371–381.

    Google Scholar 

Download references

Acknowledgments

This work was partially supported by the Russian Science Foundation, project no. 17-18-01326.

Author information

Authors and Affiliations

  1. Trapeznikov Institute for Control Problems, Russian Academy of Sciences, Moscow, Russia

    Z. K. Avdeeva & S. V. Kovriga

Authors
  1. Z. K. Avdeeva
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. V. Kovriga
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Z. K. Avdeeva or S. V. Kovriga.

Additional information

Russian Text © The Author(s), 2017, published in Upravlenie Bol’shimi Sistemami, 2017, No. 68, pp. 74–99.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Avdeeva, Z.K., Kovriga, S.V. On Situation Control Problem Settings with Multiple Stakeholders Using Cognitive Maps. Autom Remote Control 81, 139–152 (2020). https://doi.org/10.1134/S0005117920010129

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0005117920010129

Keywords

Search

Navigation