Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/286291 
Title (translated): 
Characterization of the productivity of a Mexican technology development company through fuzzy control
Year of Publication: 
2022
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 34 [Year:] 2022 [Pages:] 281-304
Publisher: 
Universidad Pablo de Olavide, Sevilla
Abstract (Translated): 
The development of a model that allows measuring the productivity of a technology-based company is presented, which is based on the interactions identified between the investment of the research department, computer fraud, and theft. These interactions are presented through a model of fuzzy variables in which the membership functions are developed for each of these. Likewise, the interaction rules are developed based on the conjunction of the fuzzy sets proposed for the Mamdani model. With these designs, it is possible to determine the degree of productivity, characterized by a fuzzy set. To test the model, Monte Carlo simulation was used with four scenarios. The simulations' series results show that the fuzzy sets described allow to measure company's productivity being analysed through the proposed fuzzy sets productivity ranges.
Subjects: 
productivity
technology-based company
fuzzy logic
Monte Carlosimulation
JEL: 
C63
C67
O32
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Article

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