{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T01:55:46Z","timestamp":1768096546595,"version":"3.49.0"},"reference-count":24,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T00:00:00Z","timestamp":1714348800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>The global iron ore price is influenced by numerous factors, thus showcasing a complex interplay among them. The collective expectations of market participants over time shape the variations and trends within the iron ore price time series. Consequently, devising a robust forecasting model for the volatility of iron ore prices, as well as for other assets connected to this commodity, is critical for guiding future investments and decision-making processes in mining companies. Within this framework, the integration of artificial intelligence techniques, encompassing both technical and fundamental analyses, is aimed at developing a comprehensive, autonomous hybrid system for decision support, which is specialized in iron ore asset management. This approach not only enhances the accuracy of predictions but also supports strategic planning in the mining sector.<\/jats:p>","DOI":"10.3390\/info15050251","type":"journal-article","created":{"date-parts":[[2024,4,30]],"date-time":"2024-04-30T04:01:52Z","timestamp":1714449712000},"page":"251","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Navigating Market Sentiments: A Novel Approach to Iron Ore Price Forecasting with Weighted Fuzzy Time Series"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-2711-0512","authenticated-orcid":false,"given":"Flavio Mauricio da Cunha","family":"Souza","sequence":"first","affiliation":[{"name":"Postgraduate Program in Instrumentation, Control and Automation of Mining Processes, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6795-2768","authenticated-orcid":false,"given":"Geraldo Pereira Rocha","family":"Filho","sequence":"additional","affiliation":[{"name":"Department of Exact and Technological Sciences, State University of Southwest Bahia, Vit\u00f3ria da Conquista 45083-900, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9238-8839","authenticated-orcid":false,"given":"Frederico Gadelha","family":"Guimar\u00e3es","sequence":"additional","affiliation":[{"name":"Computer Science Department, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2982-4006","authenticated-orcid":false,"given":"Rodolfo I.","family":"Meneguette","sequence":"additional","affiliation":[{"name":"Institute of Mathematical and Computer Sciences, University of S\u00e3o Paulo, S\u00e3o Carlos 13566-590, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7411-9229","authenticated-orcid":false,"given":"Gustavo","family":"Pessin","sequence":"additional","affiliation":[{"name":"Vale Technological Institute, Ouro Preto 35400-000, Brazil"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,29]]},"reference":[{"key":"ref_1","first-page":"301","article-title":"O ferro na hist\u00f3ria: Das artes mec\u00e2nicas \u00e0s Belas-Artes","volume":"9","author":"Mendes","year":"2000","journal-title":"Gest\u00e1o Desenvolv."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Li, D., Moghaddam, M.R., Monjezi, M., Jahed Armaghani, D., and Mehrdanesh, A. 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