Abstract
In previous works Butenko, S., Pardalos, P., Sergienko, I., Shylo, V., & Stetsyuk, P. (2009). Estimating the size of correcting codes using extremal graph problems. In Optimization (pp. 227–243). New York: Springer, we have investigated the structure of game schemes, including their composition and the relationship among athletes that compose them. We have also established that if a set of game schemes possesses enough common characteristics, the set of schemes then defines a game system. A crucial aspect of our work refers to the efficacy or lack of efficacy in the functioning of game schemes, which we will analyze in the present work based on the incorporation of a new concept that we call the “reliability function.”
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Notes
- 1.
Given the eminently practical objective of this work, we omitted certain formal aspects that should be explicitly stated under other circumstances.
- 2.
See, for example, the magnificent work by Gil Lafuente, A.M.: Analysis of the immobilized immersed in a system, Proceedings of the SIGEF Congress [Análisis del inmovilizado inmerso en un Sistema Proceedings del Congreso SIGEF]. Mexico, November 1999.
- 3.
Let us remember that every T-conorm is transformed into an inference operator by simply changing the value of a proposition x for its complement x.
- 4.
Kaufmann, A. and Gil Aluja, J.: Special techniques for the management of experts [Técnicas especiales para la gestión de expertos]. Ed. Milladoiro. Santiago de Compostela, 1993, p. 225–241.
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Gil-Lafuente, J. (2017). The Reliability of Game Systems in Team Sports. In: Peris-Ortiz, M., Álvarez-García, J., Del Río-Rama, M. (eds) Sports Management as an Emerging Economic Activity. Springer, Cham. https://doi.org/10.1007/978-3-319-63907-9_12
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