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We then introduce an algorithm based on adjustable soft discernibility matrix by using level soft set of a picture fuzzy soft set to solve decision making problems, which can find an order relation of all the objects. Finally, an illustrative example is employed to show that they can be successfully applied to problems that contain uncertainties.<\/jats:p>","DOI":"10.3233\/ifs-151648","type":"journal-article","created":{"date-parts":[[2015,11,3]],"date-time":"2015-11-03T11:21:18Z","timestamp":1446549678000},"page":"1711-1722","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":70,"title":["Adjustable soft discernibility matrix based on\u00a0picture fuzzy soft sets and its applications in\u00a0decision making"],"prefix":"10.1177","volume":"29","author":[{"given":"Yong","family":"Yang","sequence":"first","affiliation":[{"name":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou, P.R. China"}]},{"given":"Chencheng","family":"Liang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou, P.R. China"}]},{"given":"Shiwei","family":"Ji","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou, P.R. China"}]},{"given":"Tingting","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou, P.R. 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