A fuzzy cognitive map model of the repercussions of greek PSI on cypriot economy

This paper introduces an alternative methodology for developing fuzzy cognitive maps (FCM) for modeling socio-politico-economic systems. The methodology is novel with respect to the proper identification, definition and initialization of the concepts and sensitivities, as well as on the updating rule. It is based on realistic and objective knowledge extraction from the experts. Within this work certain steps are suggested to be followed by the FCM developer(s) and the experts for achieving a more reliable FCM system. The features of the proposed methodology are applied and tested on a complicate system taken from the recent Cyprus and Greece economic realities. More specifically several scenarios were developed and applied to investigate the effects of the Greek PSI on a multitude of other parameters. The study was done in February of 2012, on several parameters of the Cyprus economy. The most interesting results taken by the simulations of the system are presented and discussed in this work.

[1]  Andreas S. Andreou,et al.  A framework for developing intelligent decision support systems using evolutionary fuzzy cognitive maps , 2008, J. Intell. Fuzzy Syst..

[2]  Ελπινίκη Ι. Παπαγεωργίου,et al.  Yield prediction in apples using Fuzzy Cognitive Map learning approach , 2015 .

[3]  Christos Schizas,et al.  Fuzzy cognitive maps in estimating the repercussions of oil/gas exploration on politico-economic issues in Cyprus , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[4]  Antonie J. Jetter,et al.  Fuzzy cognitive maps to implement corporate social responsibility in product planning: A novel approach , 2012, 2012 Proceedings of PICMET '12: Technology Management for Emerging Technologies.

[5]  Peter P. Groumpos,et al.  Fuzzy Cognitive Maps: Basic Theories and Their Application to Complex Systems , 2010 .

[6]  Christos Schizas,et al.  Modeling socio-politico-economic systems with time-dependent fuzzy cognitive maps , 2012, 2012 IEEE International Conference on Fuzzy Systems.

[7]  Christos Schizas,et al.  Important issues to be considered in developing fuzzy cognitive maps , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[8]  Payam Hanafizadeh,et al.  The Application of Fuzzy Cognitive Map in Soft System Methodology , 2011 .

[9]  Bart Kosko,et al.  Fuzzy Systems as Universal Approximators , 1994, IEEE Trans. Computers.

[10]  Bart Kosko,et al.  Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..

[11]  Maurizio Bevilacqua,et al.  Fuzzy Cognitive Maps for Human Reliability Analysis in Production Systems , 2010, Production Engineering and Management under Fuzziness.

[12]  João Paulo Carvalho,et al.  On the semantics and the use of fuzzy cognitive maps and dynamic cognitive maps in social sciences , 2013, Fuzzy Sets Syst..

[13]  Andreas S. Andreou,et al.  The Cyprus puzzle and the Greek - Turkish arms race: Forecasting developments using genetically evolved fuzzy cognitive maps , 2003 .