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Some considerations on investments in irregular dynamic data spaces

Author

Listed:
  • J-C. Panayiotopoulos
  • P.M. Petrantonakis
  • S. Hadjidema

Abstract

Investing in new products without history is a dangerous task. The investment is even more risky in the case of irregular dynamic data space (ID2S), where data change within a given planning horizon in an unknown way. Unfortunately, today all data spaces are or tend to become ID2S. Consequently, an optimal solution based on present data is possible to become a complete disaster within our planning horizon. We will not only get a maximum profit, but we will lose and our initial budget too. The present work proposes some new considerations on investment theory based on a new multi-criteria model in order to avoid black investment holes. Also, crisis management and mutative-oriented programming is used.

Suggested Citation

  • J-C. Panayiotopoulos & P.M. Petrantonakis & S. Hadjidema, 2013. "Some considerations on investments in irregular dynamic data spaces," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 3(1), pages 55-64.
    • Handle: RePEc:ids:ijmcdm:v:3:y:2013:i:1:p:55-64
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