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The HICP model consider not only the existence of both additive and multiplicative interval information, but also the preference information of experts. Finally, the model is applied to the empirical analysis of wind energy prediction. The comparison of results shows that the established model can effectively improve the accuracy of prediction.<\/jats:p>","DOI":"10.3233\/jifs-210004","type":"journal-article","created":{"date-parts":[[2021,7,13]],"date-time":"2021-07-13T14:28:02Z","timestamp":1626186482000},"page":"1031-1048","source":"Crossref","is-referenced-by-count":3,"title":["A Theil coefficient-based combination prediction method with interval heterogeneous information for wind energy prediction"],"prefix":"10.1177","volume":"41","author":[{"given":"Qiongling","family":"Wu","sequence":"first","affiliation":[{"name":"College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China"}]},{"given":"Jian","family":"Lin","sequence":"additional","affiliation":[{"name":"The Digital Fujian Research Institute of Big Data for Agriculture and Forestry, Fujian Agriculture and Forestry University, Fuzhou, 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