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.
| Published in |
Science Journal of Business and Management (Volume 3, Issue 1-1)
This article belongs to the Special Issue The Role of Knowledge and Management’s Tasks in the Companies |
| DOI | 10.11648/j.sjbm.s.2015030101.22 |
| Page(s) | 73-79 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Matching Theory, Game Theory, Information, Knowing, School
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APA Style
Péter Szikora. (2015). How Matching Algorithms Can Bring Forth More Effective Decisions in Situations with Information Deficiency. Science Journal of Business and Management, 3(1-1), 73-79. https://doi.org/10.11648/j.sjbm.s.2015030101.22
ACS Style
Péter Szikora. How Matching Algorithms Can Bring Forth More Effective Decisions in Situations with Information Deficiency. Sci. J. Bus. Manag. 2015, 3(1-1), 73-79. doi: 10.11648/j.sjbm.s.2015030101.22
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Download@article{10.11648/j.sjbm.s.2015030101.22,
author = {Péter Szikora},
title = {How Matching Algorithms Can Bring Forth More Effective Decisions in Situations with Information Deficiency},
journal = {Science Journal of Business and Management},
volume = {3},
number = {1-1},
pages = {73-79},
doi = {10.11648/j.sjbm.s.2015030101.22},
url = {https://doi.org/10.11648/j.sjbm.s.2015030101.22},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.s.2015030101.22},
abstract = {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.},
year = {2015}
}
TY - JOUR T1 - How Matching Algorithms Can Bring Forth More Effective Decisions in Situations with Information Deficiency AU - Péter Szikora Y1 - 2015/01/27 PY - 2015 N1 - https://doi.org/10.11648/j.sjbm.s.2015030101.22 DO - 10.11648/j.sjbm.s.2015030101.22 T2 - Science Journal of Business and Management JF - Science Journal of Business and Management JO - Science Journal of Business and Management SP - 73 EP - 79 PB - Science Publishing Group SN - 2331-0634 UR - https://doi.org/10.11648/j.sjbm.s.2015030101.22 AB - 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. VL - 3 IS - 1-1 ER -
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