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In recent study, the SN is constructed artificially and subjectively by using the number of communication or by giving the trust value directly. This paper constructs a directed and weighted SN by integrating collaboration network and reference network of decision makers (DMs) objectively. The spin-glass of community detection method is used to identify the subgroups and the weight of DMs in subgroups and then obtain the weight of subgroup pair. The uncertain linguistic weighted average operator is used to represent each subgroup\u2019s assessment. The closeness between two subgroups is defined to measure consensus level. A targeted local feedback mechanism with three identification rules and a recommendation rule is designed to guide the consensus reaching process (CRP) more precisely and effectively. An illustrative example proves the feasibility and validity of the proposed consensus method, and the comparative analysis highlights the advantages and characteristics of this model.<\/jats:p>","DOI":"10.3233\/jifs-190276","type":"journal-article","created":{"date-parts":[[2019,8,13]],"date-time":"2019-08-13T11:29:51Z","timestamp":1565695791000},"page":"4133-4156","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["A consensus model for large-scale multi-attribute group decision making with collaboration-reference network under uncertain linguistic environment"],"prefix":"10.1177","volume":"37","author":[{"given":"Meng","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Business Administration, Northeastern University, Shenyang, Liaoning, China"},{"name":"Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, 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