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First, we introduce two measures to assess the consistency level and the consensus level of uncertain additive linguistic preference information, respectively, and study some of their desirable properties. Then, based on both the two measures, we propose a coinduced uncertain linguistic ordered weighted averaging (IULOWA) operator, called the consistency and consensus coinduced uncertain linguistic ordered weighted averaging (C<jats:sup>2<\/jats:sup>-IULOWA) operator, to aggregate individual uncertain additive linguistic preference information, in which the consistency level and the consensus level synergistically serve as inducing variables and then guide the determination of the associated weights. We have proved the collective uncertain linguistic preference information aggregated by the C<jats:sup>2<\/jats:sup>-IULOWA operator that can maintain the fundamental properties of preference relation, such as indifference, reciprocity, and transitivity. By using the C<jats:sup>2<\/jats:sup>-IULOWA operator, we develop a direct GDM approach with UALPRs. Finally, an illustrative example on the selection of chief quality officer is used to demonstrate the effectiveness and rationalitly of the developed approach.<\/jats:p>","DOI":"10.1155\/2013\/420326","type":"journal-article","created":{"date-parts":[[2013,9,5]],"date-time":"2013-09-05T17:01:43Z","timestamp":1378400503000},"page":"1-14","source":"Crossref","is-referenced-by-count":5,"title":["A Direct Approach Based on C<sup>2<\/sup>-IULOWA Operator for Group Decision Making with Uncertain Additive Linguistic Preference Relations"],"prefix":"10.1155","volume":"2013","author":[{"given":"Ding-Hong","family":"Peng","sequence":"first","affiliation":[{"name":"Institute of Quality Development, Kunming University of Science and Technology, Kunming 650093, China"},{"name":"School of Management, Harbin University of Science and Technology, Harbin 150040, China"}]},{"given":"Zhi-Fang","family":"Gao","sequence":"additional","affiliation":[{"name":"Institute of Quality Development, Kunming 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