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The proposed model uses seven main criteria: leadership, policies\/strategies, main performance results, social results, employees, cooperation, and resources. These main criteria are enhanced by 18 sub-criteria. Due to the evaluation scale being based on human judgments, fuzzy set theory is an obvious methodology choice to account for uncertainty in the evaluation data. Type-2 fuzzy sets can provide flexibility for uncertainty by considering membership functions and their footprints. We also propose an evaluation methodology for weighting the main and sub-criteria and for ranking completed Six Sigma projects through a fuzzy analytic network process (ANP) method with interval type-2 fuzzy sets. From our analysis, performance results were found to have the highest weight among the seven main criteria, while achieving project objectives was found to be the most effective criteria.<\/jats:p>","DOI":"10.3233\/jifs-171306","type":"journal-article","created":{"date-parts":[[2018,7,27]],"date-time":"2018-07-27T20:39:33Z","timestamp":1532723973000},"page":"1851-1863","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Evaluation methods for completed Six Sigma projects through an interval type-2 fuzzy ANP"],"prefix":"10.1177","volume":"35","author":[{"given":"Nihal","family":"Erginel","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, Eskisehir Technical University, \u0130kieyl\u00fcl Campus, Eskisehir, Turkey"}]},{"given":"Meryem","family":"Uluskan","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Eskisehir Osmangazi University, Meselik Campus, Eskisehir, Turkey"}]},{"given":"Gamze","family":"K\u00fc\u00e7\u00fck","sequence":"additional","affiliation":[{"name":"Ministry of Economy, Ankara, Turkey"}]},{"given":"Merve","family":"Alt\u0131nta\u015f","sequence":"additional","affiliation":[{"name":"Institute of Science, Anadolu University, Eski\u015fehir, Turkey"}]}],"member":"179","published-online":{"date-parts":[[2018,7,26]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-81-322-2325-2"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1080\/14783360600595351"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1002\/qre.1391"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.09.045"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2015.06.007"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.2507\/IJSIMM13(4)5.279"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1080\/07317131.2012.624449"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.07.024"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.02.022"},{"key":"e_1_3_1_11_2","first-page":"1","article-title":"Applying a hybrid MCDM model for Six Sigma project selection","volume":"2014","author":"Wang F.K.","year":"2014","unstructured":"WangF.K., HsuC.H. and TzengG.H., Applying a hybrid MCDM model for Six Sigma project selection, Mathematical Problems in Engineering 2014 (2014), 1\u201313.","journal-title":"Mathematical Problems in Engineering"},{"key":"e_1_3_1_12_2","unstructured":"SaatyT.L. 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