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The IVIF-Taxonomy method fully considers the weight of the decision makers (DMs) and the homogeneity of the chosen alternatives, making it more realistic. In addition, we apply IVIF-Taxonomy method to fund selection to verify the validity of IVIF-Taxonomy method. Finally, the trustworthy of IVIF-Taxonomy method is proved by comparing with the aggregate operator, IVIF-TOPSIS method, IVIF-GRA method and modified IVIF-WASPAS method.<\/jats:p>","DOI":"10.3233\/jifs-210918","type":"journal-article","created":{"date-parts":[[2021,9,14]],"date-time":"2021-09-14T10:41:44Z","timestamp":1631616104000},"page":"7031-7045","source":"Crossref","is-referenced-by-count":40,"title":["Taxonomy method for multiple attribute group decision making based on interval-valued intuitionistic fuzzy with entropy"],"prefix":"10.1177","volume":"41","author":[{"given":"Lu","family":"Xiao","sequence":"first","affiliation":[{"name":"School of Business, Sichuan Normal University, Chengdu, P.R. 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