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Fourth, for improving the individual consistency and group consensus simultaneously, an algorithm is designed to obtain a group of HFPRs with acceptable consistency and consensus. Finally, the method of determining the decision makers\u2019 weights and a procedure for MCDM problems with HFPRs are given. An illustrative example in conjunction with comparative analysis is used to demonstrate the proposed method which is feasible and efficient for practical MCDM problems.<\/jats:p>","DOI":"10.1007\/s40747-021-00585-6","type":"journal-article","created":{"date-parts":[[2022,1,21]],"date-time":"2022-01-21T08:02:48Z","timestamp":1642752168000},"page":"2203-2225","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Group decision making method with hesitant fuzzy preference relations based on additive consistency and consensus"],"prefix":"10.1007","volume":"8","author":[{"given":"Jian","family":"Li","sequence":"first","affiliation":[]},{"given":"Li-li","family":"Niu","sequence":"additional","affiliation":[]},{"given":"Qiongxia","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Zhong-xing","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Wenjing","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,21]]},"reference":[{"key":"585_CR1","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.inffus.2020.02.005","volume":"60","author":"J Chu","year":"2020","unstructured":"Chu J, Wang Y, Liu X, Liu Y (2020) Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations. 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