Title: Stochastic vectors in modelling risk control operations for supporting intelligent behaviour of information systems

Authors: Constantinos Artikis; Aggeliki Voudouri; Thomas Babalis

Addresses: Department of Informatics, University of Piraeus, 80 Karaoli and Dimitriou Street, 185 34 Pireaus, Greece ' Pedagogical Department, University of Athens, 20 Hippocratous Street, 106 80 Athens, Greece ' Pedagogical Department, University of Athens, 20 Hippocratous Street, 106 80 Athens, Greece

Abstract: Random contractions constitute a kind of stochastic multiplicative models with particular theoretical and practical interest. Random sums are also recognised as important stochastic models with very useful applications in a wide variety of theoretical and practical disciplines. The paper concentrates on the formulation of a random vector based on two random sums of random contractions and the establishment of sufficient conditions for evaluating the corresponding characteristic function. Moreover, the paper establishes interesting interpretations of the formulated random vector in some fundamental areas of informatics.

Keywords: stochastic vectors; risk control; risk management; intelligent information systems; random contractions; random sums; information risk; educational informatics; computational intelligence; stochastic modelling.

DOI: 10.1504/IJCISTUDIES.2015.072871

International Journal of Computational Intelligence Studies, 2015 Vol.4 No.3/4, pp.231 - 242

Received: 13 Mar 2014
Accepted: 16 May 2014

Published online: 05 Nov 2015 *

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