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Production of parts with better quality is possible at lower costs by production with CNC router machines, and these machines improve the productivity of manufacturing system. For these reasons, determination of the appropriate CNC router machine for manufacturing systems is a crucial decision. Different factors related to properties of machines are effective on the decision. Therefore, decision makers must include different effective aspects into decision process. Under this consideration, an analytic selection procedure for CNC router machines by taking uncertain expressions of experts on the selection criteria and variable values occur over time is proposed in this study. In order to handle the modelling difficulty of uncertainty of the statements and the value changes by time, dynamic intuitionistic multi attribute decision making is used to select the best CNC router. Applicability of the proposed selection procedure is demonstrated on an application, and a comparative analysis with dynamic neutrosophic multi attribute decision making is presented.<\/jats:p>","DOI":"10.3233\/jifs-189094","type":"journal-article","created":{"date-parts":[[2020,8,11]],"date-time":"2020-08-11T13:58:34Z","timestamp":1597154314000},"page":"6259-6269","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["CNC router selection under dynamic fuzzy environment"],"prefix":"10.1177","volume":"39","author":[{"given":"Ahmet","family":"Aktas","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, Gazi University, Ankara, Turkey"}]},{"given":"Serhat","family":"Aydin","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Air Force Academy, National Defence University, Istanbul, Turkey"}]},{"given":"Mehmet","family":"Kabak","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Gazi University, Ankara, Turkey"}]}],"member":"179","published-online":{"date-parts":[[2020,8,6]]},"reference":[{"issue":"1","key":"e_1_3_1_2_2","first-page":"109","article-title":"A Hybrid Approach Based On ANP and Grey Relational Analysis for Machine Selection","volume":"24","author":"Kabak M.","year":"2017","unstructured":"KabakM., DagdevirenM. and M., A Hybrid Approach Based On ANP and Grey Relational Analysis for Machine Selection, Technical Gazette 24(Suppl 1) (2017), 109\u2013118.","journal-title":"Technical Gazette"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-015-1189-3"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/0925-5273(96)00003-5"},{"key":"e_1_3_1_5_2","first-page":"35","article-title":"Usability analysis of different distance measures on TOPSIS","volume":"32","author":"Kabak M.","year":"2017","unstructured":"KabakM., SaglamF. and AktasA., Usability analysis of different distance measures on TOPSIS, Journal of the Faculty of Engineering and Architecture of Gazi University 32 (2017), 35\u201343.","journal-title":"Journal of the Faculty of Engineering and Architecture of Gazi University"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2011.05.003"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1108\/K-11-2013-0236"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.08.064"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2007.08.008"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488509005711"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1108\/03684921211243356"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1108\/03684921211243383"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488513500268"},{"key":"e_1_3_1_14_2","doi-asserted-by":"crossref","unstructured":"AktasA. 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