Name: Fuzzy modeling for diagnosis of soft skills in Engineering (en Inglés)
Price: 63.72 USD
Availability: InStock
Author: Barni de Campos, Débora ; Martins de Resende, Luis Mauricio ; Borges Fagundes, Alexandre
ISBN: 9786204152417

portada Fuzzy modeling for diagnosis of soft skills in Engineering (en Inglés)

Fuzzy modeling for diagnosis of soft skills in Engineering (en Inglés)

Formato

Libro Físico

Autor

Débora Barni de Campos

Luis Mauricio Martins de Resende

Alexandre Borges Fagundes

Editorial

Our Knowledge Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.4 cm

Peso

0.12 kg.

ISBN13

9786204152417

Categorías

Consejos sobre carreras profesionales y cómo alcanzar el éxito

Fuzzy modeling for diagnosis of soft skills in Engineering (en Inglés)

Débora Barni de Campos (Autor) · Luis Mauricio Martins de Resende (Autor) · Alexandre Borges Fagundes (Autor) · Our Knowledge Publishing · Tapa Blanda

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Reseña del libro "Fuzzy modeling for diagnosis of soft skills in Engineering (en Inglés)"

It explains the development of a model based on fuzzy logic that performs multicriteria analysis to aid decision making, aiming at diagnosing soft skills in engineering education. This scientific instrument was developed with the fuzzyTECH software, which supported the calculations necessary for the results. The top-down tree-type hierarchical structure was designed from a systematic literature review, which searched the Web of Science, Science Direct, Scopus and EJEE databases, over 15 years, combining keywords from two main branches: Engineering and Humanities. A total of 3951 articles were obtained, which were ranked by the scientific ranking algorithm indexOrdinatio, which takes into account the year the article was searched, the year of publication, the number of citations in Google Schoolar and the JCR of each journal. In the end, 64 articles were critically analyzed to capture the most important soft skills for engineers used in the composition of the modeling. This robust tool has been validated and shown to have the characteristics of reliability, equivalence, stability, validity and consistency.