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Export Reference (APA)
Ferreira, M. A. M. & Matos, M. (2018). A code form game in a selection process. In Marian Reiff, Pavel Gežík (Ed.), International Scientific Conference Quantitative Methods in Economics: Multiple Criteria Decision Making XIX (pp. 96?103). Letra Edu.
Export Reference (IEEE)
M. A. Ferreira and M. C. Matos,  "A code form game in a selection process", in Int. Scientific Conf. Quantitative Methods in Economics: Multiple Criteria Decision Making XIX, Marian Reiff, Pavel Gežík, Ed., Tren?ianske Teplice, Letra Edu, 2018, pp. 96-103
Export BibTeX
@inproceedings{ferreira2018_1790040647702,
	author = "Ferreira, M. A. M. and Matos, M.",
	title = "A code form game in a selection process",
	booktitle = "International Scientific Conference Quantitative Methods in Economics: Multiple Criteria Decision Making XIX",
	year = "2018",
	editor = "Marian Reiff, Pavel Gežík",
	volume = "",
	number = "",
	series = "",
	pages = "96-103",
	publisher = "Letra Edu",
	address = "Tren?ianske Teplice",
	organization = "Slovak Society for Operations Research"
}
Export RIS
TY  - CPAPER
TI  - A code form game in a selection process
T2  - International Scientific Conference Quantitative Methods in Economics: Multiple Criteria Decision Making XIX
AU  - Ferreira, M. A. M.
AU  - Matos, M.
PY  - 2018
SP  - 96-103
CY  - Tren?ianske Teplice
AB  - The aim of this paper is to present, in the scope of game theory, a new games representation: the code form, consisting of a table which contains the whole information, without any suppression or “adulteration “with regards to the game. After the theoretical description, its application is exemplified in solving  the problem of selecting a candidate up to his/her acceptance trough game theory. The originality this paper proposes is how this problem will be approached: it will be treated as a single game which is made up of two parts, going as far as to state that the payoffs in the first part of the game will be the mediators of the second part of the game, instead of using the stochastic dynamic programming approach. The solution of the problem using stochastic dynamic programming is also presented to highlight empirically the parallelism between the two modes of resolution.


ER  -