Volume 3, Issue 1-1, February 2015, Page: 73-79
How Matching Algorithms Can Bring Forth More Effective Decisions in Situations with Information Deficiency
Péter Szikora, Óbuda University, Keleti Faculty of Business and Management, Budapest, Hungary
Received: Dec. 1, 2014;       Accepted: Dec. 15, 2014;       Published: Jan. 27, 2015
DOI: 10.11648/j.sjbm.s.2015030101.22      View  2759      Downloads  118
University life is a chain of decisions. One of the most important parts of the decision as a process is the gathering and analysis of information, since the more information is available in case of a decision; the better one can define the options for the action, as well as their assessment. In most of the cases we simply don’t have all/enough information, hence we make suboptimal decisions. Even in these cases, matching theory can offer a stable, optimal solution. Matching algorithms are one of the most important mathematical as well as economical approaches of the 21. century. Numerous university problems might be solved with the help of them. Nevertheless, although we very often apply some kinds of matching algorithms for handling decision situations, we are seldom aware of these algorithms which are most of the time ineffective. Present paper aims at proving that the conscious use of matching algorithms is not only for mathematicians, since their inner logic is easy to capture, and with the help of them the efficiency of the decision and the satisfaction of those involved in the situation may largely be improved.
Matching Theory, Game Theory, Information, Knowing, School
To cite this article
Péter Szikora, How Matching Algorithms Can Bring Forth More Effective Decisions in Situations with Information Deficiency, Science Journal of Business and Management. Special Issue: The Role of Knowledge and Management’s Tasks in the Companies. Vol. 3, No. 1-1, 2015, pp. 73-79. doi: 10.11648/j.sjbm.s.2015030101.22
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