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A neural network measurement of relative military security - the case of Greece and Cyprus

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  • A. S. Andreou
  • G. A. Zombanakis

Abstract

This paper aims at introducing a relative security measure, applicable to evaluating the impact of arms races on the military security of allies. This measure is based on demographic criteria, which play a dominant role in a number of arms races involving military alliances. The case of Greece and Cyprus, on one hand, and Turkey on the other, is the one to which our relative security measure is applied and tested. Artificial neural networks were trained to forecast the future behaviour of relative security. The high forecasting performance permitted the application of alternative scenarios for predicting the impact of the Greek-Turkish arms race on the relative security of the Greek-Cypriot alliance.

Suggested Citation

  • A. S. Andreou & G. A. Zombanakis, 2001. "A neural network measurement of relative military security - the case of Greece and Cyprus," Defence and Peace Economics, Taylor & Francis Journals, vol. 12(4), pages 303-324.
    • Handle: RePEc:taf:defpea:v:12:y:2001:i:4:p:303-324
    DOI: 10.1080/10430710108404990
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    Cited by:

    1. ANDREOU, ANDREAS & PARSOPOULOS, KONSTANTINE & VRACHATIS, MICHAEL & Zombanakis, George A., 2003. "Optimal Versus Required Defence Spending," MPRA Paper 78663, University Library of Munich, Germany, revised 14 Jul 2003.
    2. ANDREOU, A. S. & PARSOPOULOS, K. E. & VRACHATIS, M. N. & Zombanakis, George A., 2002. "Searching for the Optimal Defence Expenditure: An Answer in the Context of the Greek – Turkish Arms Race," MPRA Paper 51580, University Library of Munich, Germany, revised 15 Aug 2002.
    3. Andreou, Andreas S. & Parsopoulos, Konstantine & Vrachatis, Michael & Zombanakis, George A., 2003. "Optimal Versus Required Defence Expenditure Revisited," MPRA Paper 78765, University Library of Munich, Germany, revised 14 Jul 2003.
    4. Jonathan P. Kastellec, 2010. "The Statistical Analysis of Judicial Decisions and Legal Rules with Classification Trees," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 7(2), pages 202-230, June.
    5. A. S. Andreou & K. E. Parsopoulos & M. N. Vrahatis & G. A. Zombanakis, 2002. "Optimal versus required defence expenditure: The case of the Greek-Turkish arms race," Defence and Peace Economics, Taylor & Francis Journals, vol. 13(4), pages 329-347.
    6. Andreou, Andreas S. & Mateou, Nicos H. & Zombanakis, George A., 2003. "The Cyprus Puzzle and the Greek – Turkish Arms Race," MPRA Paper 78749, University Library of Munich, Germany, revised 14 Jul 2003.
    7. Andreou, Andreas S. & Zombanakis, George A., 2003. "Intelligent information systems for defence problems," MPRA Paper 38637, University Library of Munich, Germany.
    8. Andreou, Andreas S. & Mateou, Nicos H. & Zombanakis, George A., 2005. "Soft computing for crisis management and political decision making: the use of genetically evolved fuzzy cognitive maps," MPRA Paper 51325, University Library of Munich, Germany, revised 01 Nov 2004.
    9. Andreou, A. S. & Mateou, N. H. & Zombanakis, George A., 2003. "Crisis Management and Political Decision Making Using Genetically Evolved Fuzzy Cognitive Maps," MPRA Paper 51639, University Library of Munich, Germany, revised 14 Feb 2003.
    10. Andreou Andreas S & Zombanakis George A, 2006. "The Arms Race between Greece and Turkey: Commenting on a Major Unresolved Issue," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 12(1), pages 1-18, September.
    11. A. S. Andreou & K. E. Parsopoulos & M. N. Vrahatis & G. A. Zombanakis, 2004. "An alliance between Cyprus and Greece: assessing its partners' relative security contribution," Defence and Peace Economics, Taylor & Francis Journals, vol. 15(5), pages 481-495.

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