Some considerations on investments in irregular dynamic data spaces
John-Christ Panayiotopoulos, Pavlos M. Petrantonakis, Stamatina Hadjidema · International Journal of Multicriteria Decision Making · 2013
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.