Fuzzy model to assess factors affecting productivity in pyme
Keywords:
Fuzzy Inference, Fuzzy Logic, PYME, ProductivityAbstract
In Venezuela, small- and medium sized companies PYME contribute considerably to economic activity and are a great employment generator. This article state a fuzzy model development which permit to evaluate the production factors that affect productivity, in order to estimate and minimize their impact and, in this way the company dosen‘t loose the use or resource level. The importance of this development lies in the use of fuzzy logic to evaluate the effect of factors like production and client satisfaction in PYME‘s productivity.
Downloads
Published
How to Cite
Issue
Section
Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)
The opinions expressed by the authors do not necessarily reflect the position of the publisher of the publication or of UCLA. The total or partial reproduction of the texts published here is authorized, as long as the complete source and the electronic address of this journal are cited.
The authors fully retain the rights to their works, giving the journal the right to be the first publication where the article is presented. The authors have the right to use their articles for any purpose as long as it is done for non-profit. Authors are recommended to disseminate their articles in the final version, after publication in this journal, in the electronic media of the institutions to which they are affiliated or personal digital media.