{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:27:10Z","timestamp":1740202030016,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"abstract":"<jats:p>The inclusion of the chemistry field of study in higher education science and technology curricula aims to develop professionals who are able to analyze and solve multidisciplinary problems in a sustainable and correct way. Attending students to assess the role of chemistry in their education is critical to increasing success and improving their future professional practice. This article presents a Many-Valued Empirical Machine designed to capture Students' Perception of Chemistry in Higher Education Programs. The applied problem-solving method is based on a symbolic\/sub-symbolic line of logical formalisms that articulate with an Artificial Neural Network approach to computing, being grounded on a view to knowledge representation and argumentation that considers not only the data entropic states but also its inherent Predicative Vagueness.<\/jats:p>","DOI":"10.3233\/978-1-61499-927-0-563","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:27:24Z","timestamp":1740133644000},"source":"Crossref","is-referenced-by-count":0,"title":["Improving the Perception of Chemistry in Higher Education Programs Through Many-Valued Empirical Machines"],"prefix":"10.3233","author":[{"family":"Vicente Henrique","sequence":"additional","affiliation":[]},{"family":"Figueiredo Margarida","sequence":"additional","affiliation":[]},{"family":"Dias Almeida","sequence":"additional","affiliation":[]},{"family":"Marques Jos&eacute;","sequence":"additional","affiliation":[]},{"family":"Ara&uacute;jo Isabel","sequence":"additional","affiliation":[]},{"family":"Maia Nuno","sequence":"additional","affiliation":[]},{"family":"Ribeiro Jorge","sequence":"additional","affiliation":[]},{"family":"Neves Jos&eacute;","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining IV"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T11:04:12Z","timestamp":1740135852000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-926-3&spage=563&doi=10.3233\/978-1-61499-927-0-563"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-927-0-563","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2018]]}}}