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Motivated by the ideal of generalized weighted Bonferroni mean and generalized weighted geometric Bonferroni mean, we develop the 2-tuple linguistic generalized Bonferroni mean (2TLGBM) operator for aggregating the 2-tuple linguistic information. For the situations where the input arguments have different importance, we then define the 2-tuple linguistic generalized weighted Bonferroni mean (2TLGWBM) operator, based on which we develop the procedure for multiple attribute decision making under the 2-tuple linguistic environments. At last, a numerical example for evaluating the visual design quality is provided to illustrate the proposed method. The result shows the approach is simple, effective and easy to calculate.<\/jats:p>","DOI":"10.3233\/jifs-161637","type":"journal-article","created":{"date-parts":[[2017,7,24]],"date-time":"2017-07-24T08:09:14Z","timestamp":1500883754000},"page":"1741-1748","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Model for evaluating the visual design quality with 2-tuple linguistic information"],"prefix":"10.1177","volume":"33","author":[{"given":"Yong","family":"Yang","sequence":"first","affiliation":[{"name":"School of Architecture and Design, China University of Mining and Technology, Xuzhou, Jiangsu, P.R. 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