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The results obtained in 23 regression datasets show the effectiveness of the proposed method by applying statistical tests to the said metrics, which cover the different aspects of the interpretability of linguistic fuzzy models. This learning process has obtained the preservation of high-level semantics and less than 5 rules on average, while it still clearly outperforms some of the previous state-of-the-art linguistic fuzzy regression methods for learning interpretable regression linguistic fuzzy systems, and even to a competitive, pure accuracy-oriented linguistic learning approach. Finally, we analyze a case study in a real problem related to childhood obesity, and a real expert carries out the analysis shown.<\/jats:p>","DOI":"10.1007\/s40815-022-01324-w","type":"journal-article","created":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T10:02:58Z","timestamp":1657706578000},"page":"3082-3103","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension"],"prefix":"10.1007","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9753-0697","authenticated-orcid":false,"given":"Carmen","family":"Biedma-Rdguez","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9895-9647","authenticated-orcid":false,"given":"Mar\u00eda Jos\u00e9","family":"Gacto","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6888-1041","authenticated-orcid":false,"given":"Augusto","family":"Anguita-Ruiz","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6190-3575","authenticated-orcid":false,"given":"Jes\u00fas","family":"Alcal\u00e1-Fdez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1140-6156","authenticated-orcid":false,"given":"Rafael","family":"Alcal\u00e1","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,12]]},"reference":[{"key":"1324_CR1","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1038\/538020a","volume":"538","author":"D Castelvecchi","year":"2016","unstructured":"Castelvecchi, D.: Can we open the black box of AI? 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