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https://hdl.handle.net/11000/33274
Ordering the most relevant skills in an engineering degree using fuzzy logic. A case study
Title: Ordering the most relevant skills in an engineering degree using fuzzy logic. A case study |
Authors: Brotons, José M. Puerto-Molina, H. Cámara-Zapata, José M. |
Editor: IHS Publication |
Department: Departamentos de la UMH::Estudios Económicos y Financieros |
Issue Date: 2020-11-13 |
URI: https://hdl.handle.net/11000/33274 |
Abstract:
Nowadays, the increasing uncertainty of a globalized world economy poses additional challenges to
the new agricultural engineering graduates. They have to face increasingly complex challenges,
such as increasing demand for agricultural produce in a Climate Change situation, a growing
difficulty to guarantee food safety caused by global trade, and an improvement of the resilience of
productive systems based on precision agriculture. All of this along with the drawback of a reduced
interest of new students in this kind of graduate study. Previous works have dealt with the
importance of the general skills in an agricultural engineering degree, showing the relevance of the
instrumental skills (capacity for analysis and synthesis, organization and planning capacity, ability
to manage information, oral and written communication, foreign language knowledge, computer
knowledge, problem resolution, and decision making). This work aims to order these instrumental skills to face the above-mentioned challenges in a more effective way. We are aware that the result
of this order presents high doses of uncertainty and ambiguity, and that is why we propose the use
of fuzzy logic. The application of this methodology based on fuzzy mathematics can contribute to
updating the university degrees so that graduates can successfully the new challenges they will
encounter in the workplace. Results show that capacity for analysis and synthesis, organization and
planning capacity, and foreign language knowledge is the best-considered skills.
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Keywords/Subjects: Agricultural Engineering Climate Change Skills Fuzzy |
Knowledge area: CDU: Ciencias sociales: Economía |
Type of document: application/pdf |
Access rights: info:eu-repo/semantics/openAccess |
DOI: https://doi.org/10.20319/pijtel.2020.43.1427 |
Appears in Collections: Artículos Estudios Económicos y Financieros
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