Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification
González-Crespo, Rubén (1)
Tipo de Ítem:Articulo Revista Indexada
Non-programmed decision-making is an activity that requires a number of methods to try to capture the rational behaviour of an aspirant in situations of uncertainty. Thus, there is a varied list of attributes, methods, and mechanisms that are intended to describe the way in which aspirants can be profiled. However, this modelling proves to be complex if it is approached in scenarios based on game mechanics from gamification. For this reason, the following article aims to contribute to the processes of selection of personnel delimited only to the making of non-programmed decisions, through the implementation of game mechanics. In order to model this selection, the purpose of the following study is to carry out the formulation of inference rules based on fuzzy logic in order to capture the tacit transfer of certain types of information in personnel selection processes and to determine aspects that allow the shaping of aspirants. Finally, the results and conclusions obtained
Este ítem aparece en la(s) siguiente(s) colección(es)
Mostrando ítems relacionados por Título, autor o materia.
Analysis of physico-chemical variables and their influence on water quality of the Bogota River using data mining Rojas, Jairo; Forero, Julián; Gaona-García, Paulo Alonso; Montenegro Marin, Carlos Enrique; González-Crespo, Rubén (1) (International Journal of High Performance Systems Architecture, 2018)Variation of the flow rate and the concentration of different elements within a flow of water in a river must be important factors for the discovery of patterns of behaviour and predictive in terms of space and time models. ...
Hyperparameter Optimization for Image Recognition over an AR-Sandbox Based on Convolutional Neural Networks Applying a Previous Phase of Segmentation by Color-Space Restrepo Rodríguez, Andrés Ovidio; Casas Mateus, Daniel Esteban; Gaona-García, Paulo Alonso; Montenegro-Marín, Carlos; González-Crespo, Rubén (1) (Sysmmetry. Basel, 12/2018)Immersive techniques such as augmented reality through devices such as the AR-Sandbox and deep learning through convolutional neural networks (CNN) provide an environment that is potentially applicable for motor rehabilitation ...
Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods Morente-Molinera, Juan Antonio (1); Kou, G; González-Crespo, Rubén (1); Corchado, J M; Herrera-Viedma, Enrique (Knowledge-Based Systems, 12/2017)Classic multi-criteria group decision making models that have a high amount of alternatives are unmanageable for the experts. This is because they have to provide one value per each alternative and criteria. In this paper, ...