Neutrosophic fuzzy logic to measure the student training model in Cuban Higher Education

Main Article Content

Xiomara García Navarro
Orquidea Urquiola Sánchez
María Elena Rodríguez del Rey Rodríguez
Yissel Pérez de Villa Amil Sellés4

Abstract

The continuous improvement of the study plans has been one of the aspects to be taken into account to achieve adequate levels of quality in the training process, adapting the conceptual bases of the design of said plans to the demands that progress imposes. impetuous science and technology at the national and international level. One of the great challenges of Cuban Higher Education today is the comprehensive training of students. In this sense, the professional training model that is applied responds to the model of a modern, humanistic, universalized, scientific, technological, innovative university integrated into society. This research aims to develop a neutrosophic method to measure the model of student training in Cuban higher education. Empirical methods, such as document analysis, were used to obtain precise information related to the training model of professionals in Cuban Higher Education.

Downloads

Download data is not yet available.

Article Details

How to Cite
Neutrosophic fuzzy logic to measure the student training model in Cuban Higher Education. (2022). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 23, 69-78. https://fs.unm.edu/NCML2/index.php/112/article/view/243
Section
Articles

How to Cite

Neutrosophic fuzzy logic to measure the student training model in Cuban Higher Education. (2022). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 23, 69-78. https://fs.unm.edu/NCML2/index.php/112/article/view/243