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Forecasting Models Based on Fuzzy Logic: An Application on International Coffee Prices

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Bibliographic Details
Published in:Econometrics
Format: Online Article RSS Article
Published: 2023
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container_title Econometrics
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:16999
institution FRELIP
journal_source_facet Econometrics
publishDate 2023
publishDateSort 2023
record_format rss_article
spellingShingle Forecasting Models Based on Fuzzy Logic: An Application on International Coffee Prices
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Mathematical Sciences
sub_discipline_facet Natural Sciences — Mathematical Sciences
subject_display Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
subject_facet Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
title Forecasting Models Based on Fuzzy Logic: An Application on International Coffee Prices
title_auth Forecasting Models Based on Fuzzy Logic: An Application on International Coffee Prices
title_full Forecasting Models Based on Fuzzy Logic: An Application on International Coffee Prices
title_fullStr Forecasting Models Based on Fuzzy Logic: An Application on International Coffee Prices
title_full_unstemmed Forecasting Models Based on Fuzzy Logic: An Application on International Coffee Prices
title_short Forecasting Models Based on Fuzzy Logic: An Application on International Coffee Prices
title_sort forecasting models based on fuzzy logic: an application on international coffee prices
topic Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
url https://sciendo.com/article/10.15611/eada.2022.4.01