Predictive decision support platform and its application in crowding prediction and passenger information generation

2021 ◽  
Vol 129 ◽  
pp. 103139
Author(s):  
Peyman Noursalehi ◽  
Haris N. Koutsopoulos ◽  
Jinhua Zhao

The paper considers the structural elements for an automated information reference decision support system (AIRDSS) in hierarchical multilevel complex organizational systems (HMLCOS). The task to ensure the functioning of the AIRDSS has been formulated. To solve it the main steps have been designated, which comprise the calculation of the importance coefficients for the supporting information (SI) elements and ordering of options based on a decision-maker’s preference followed by the choice of the utility prospective one. On the basis of the steps considered, the authors propose the algorithm to form the optimal structure of the AIRDSS procedural component’ elements for obtaining SI; the algorithm has a number of advantages: calculation simplicity for various experiments, a relatively simple formalization of expert knowledge into numerical values of importance.


2013 ◽  
Vol 46 (2) ◽  
pp. 52
Author(s):  
CHRISTOPHER NOTTE ◽  
NEIL SKOLNIK

Author(s):  
William Elm ◽  
Scott Potter ◽  
James Tittle ◽  
David Woods ◽  
Justin Grossman ◽  
...  

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