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Therefore, this study adopts a fuzzy regression approach with a nonlinear structure to model consumer preferences based on online reviews to provide reference and insight for subsequent studies. First, smartwatches were selected as the research object, and the sentiment scores of product reviews under different topics were obtained by text mining on the product online data. Second, a polynomial structure between product attributes and consumer preferences was generated to investigate the association between them further. Afterward, based on the existing polynomial structure, the fuzzy coefficients of each item in the structure were determined by the fuzzy regression approach. Finally, the mean relative error and mean systematic confidence of the fuzzy regression with nonlinear structure method were numerically calculated and compared with fuzzy least squares regression, fuzzy regression, adaptive neuro fuzzy inference system (ANFIS) and K-means-based ANFIS, and it was found that the proposed method was relatively more effective in modeling consumer preferences.<\/jats:p>","DOI":"10.1007\/s40747-023-00986-9","type":"journal-article","created":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T20:02:51Z","timestamp":1677009771000},"page":"4899-4909","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Developing explicit customer preference models using fuzzy regression with nonlinear structure"],"prefix":"10.1007","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0951-0624","authenticated-orcid":false,"given":"Huimin","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Xianhui","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Farzad","family":"Sabetzadeh","sequence":"additional","affiliation":[]},{"given":"Kit Yan","family":"Chan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,2,21]]},"reference":[{"key":"986_CR1","unstructured":"Kemp S (2022) Digital in 2022: global overview. 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