Article

Using fuzzy cognitive maps as a decision support system for political decisions: the case of Turkey’s integration into the European union

Authors:

Athanasios K. Tsadiras,

Ilias KouskouvelisAuthors Info & Claims

PCI'05: Proceedings of the 10th Panhellenic conference on Advances in Informatics

Pages 371 - 381

https://doi.org/10.1007/11573036_35

Published: 11 November 2005 Publication History

Abstract

In this paper we use Fuzzy Cognitive Maps (FCMs), a well-established Artificial Intelligence technique that incorporates ideas from Artificial Neural Networks and Fuzzy Logic, to create a dynamic model of Turkey’s course towards its integration into the European Union, after the decision of December 18, 2004, according to which in October 3, 2005, Turkey will start negotiating its access to the European Union. FCMs create models as collections of concepts and the various causal relations that exist between these concepts. The decision capabilities of the FCM structure are examined and presented using a model developed based on the beliefs of a domain expert in the political situation in Turkey & European Union. The model is examined both statically using graph theory techniques and dynamically through simulations. Scenarios are introduced and predictions are made by viewing dynamically the consequences of the corresponding actions.

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Cited By

Obiedat MSamarasinghe S(2016)A novel semi-quantitative Fuzzy Cognitive Map model for complex systems for addressing challenging participatory real life problemsApplied Soft Computing10.1016/j.asoc.2016.06.00148:C(91-110)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1016/j.asoc.2016.06.001
Peña-Ayala AMizoguchi R(2012)Intelligent decision-making approach based on fuzzy-causal knowledge and reasoningProceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence10.1007/978-3-642-31087-4_55(534-543)Online publication date: 9-Jun-2012
https://dl.acm.org/doi/10.1007/978-3-642-31087-4_55
Boutalis YKottas TChristodoulou M(2009)Adaptive estimation of fuzzy cognitive maps with proven stability and parameter convergenceIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2009.201751917:4(874-889)Online publication date: 1-Aug-2009
https://dl.acm.org/doi/10.1109/TFUZZ.2009.2017519

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Information

Published In

cover image Guide Proceedings

PCI'05: Proceedings of the 10th Panhellenic conference on Advances in Informatics

November 2005

869 pages

ISBN:3540296735

Editors:
Panayiotis Bozanis
Department of Computer and Communication Engineering, University of Thessaly, Glavani 37, Volos, Greece
,
Elias N. Houstis
Department of Computer and Communication Engineering, University of Thessaly, Glavani 37, Volos, Greece

Sponsors

Alpha Bank
University of Thessaly: University of Thessaly, Volos, Greece
Microsoft Hellas: Microsoft Hellas
Municipality of Volos: Municipality of Volos
HNA: Hellenic Naval Academy

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 11 November 2005

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Cited By

Obiedat MSamarasinghe S(2016)A novel semi-quantitative Fuzzy Cognitive Map model for complex systems for addressing challenging participatory real life problemsApplied Soft Computing10.1016/j.asoc.2016.06.00148:C(91-110)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1016/j.asoc.2016.06.001
Peña-Ayala AMizoguchi R(2012)Intelligent decision-making approach based on fuzzy-causal knowledge and reasoningProceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence10.1007/978-3-642-31087-4_55(534-543)Online publication date: 9-Jun-2012
https://dl.acm.org/doi/10.1007/978-3-642-31087-4_55
Boutalis YKottas TChristodoulou M(2009)Adaptive estimation of fuzzy cognitive maps with proven stability and parameter convergenceIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2009.201751917:4(874-889)Online publication date: 1-Aug-2009
https://dl.acm.org/doi/10.1109/TFUZZ.2009.2017519

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