Fuzzy Model for Diagnosing Soft Skills in Engineering Training

Abstract

This work presents the development of a model based on fuzzy logic to perform an evaluation and decision making based on multiple criteria intended to diagnose soft skills in Engineering courses. This scientific tool was developed using the fuzzyTECH software, which supported the calculations necessary for the delivery of the results. The hierarchical structure of the top-down tree was developed using a Systematic Bibliographic Review, based on the search databases Web of Science, Science Direct, Scopus databases and on the European Journal of Engineering Education and Journal of Engineering Education. The search comprised 15 years and combined keywords from two main fields: Engineering and Humanities. The 3951 articles obtained were ranked by the scientific ranking algorithm indexOrdinatio, which takes into account the year of the article search, the year of publication, the number of citations in Google Scholar and the JCR of the journal in which the article is indexed. At the end, 59 articles were critically analyzed, capturing the most important soft skills for Engineers to be used in the modeling composition. This robust tool has been validated and has shown the characteristics of reliability, stability, validity and consistency.