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Owing to the enlarging number of these systems with distinctive efficacy, the problem of selecting an appropriate system for a particular requirement is a cumbersome task. Henceforth, this work comes up with a strategy based on multi-attribute decision making to select a most suitable RP system. The presence of subjectivity in decision making as well as the existence of imprecision from various sources emphasize the methods which must consider uncertainty and vagueness. A decision advisor based on uncertainty theories, including fuzzy analytical hierarchy process (FAHP) and grey relational analysis (GRA) has been introduced. It provides a comprehensive database comprising thirty nine commercially available RP systems. The evaluation attributes consisting of machine cost, accuracy, layer thickness, machine speed, material cost, net build size volume, machine weight, surface roughness, and material strength were utilized to characterize the different machines. The FAHP based on trapezoidal fuzzy number was implemented to determine the priority weights of various attributes, while the GRA was employed to realize the best RP system and technology. The authors believe that this system has the potential to transform into a fully developed RP selection system.<\/jats:p>","DOI":"10.3233\/jifs-190128","type":"journal-article","created":{"date-parts":[[2019,7,2]],"date-time":"2019-07-02T10:44:08Z","timestamp":1562064248000},"page":"3897-3923","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Decision advisor based on uncertainty theories for the selection of rapid prototyping system"],"prefix":"10.1177","volume":"37","author":[{"given":"Khaja","family":"Moiduddin","sequence":"first","affiliation":[{"name":"Advanced Manufacturing Institute, King Saud University, Riyadh, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Syed Hammad","family":"Mian","sequence":"additional","affiliation":[{"name":"Advanced Manufacturing Institute, King Saud University, Riyadh, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hisham","family":"Alkhalefah","sequence":"additional","affiliation":[{"name":"Advanced Manufacturing Institute, King Saud University, Riyadh, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Usama","family":"Umer","sequence":"additional","affiliation":[{"name":"Advanced Manufacturing Institute, King Saud University, Riyadh, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,7]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"ChuaC.K. and LeongK.F. 3D Printing and Additive Manufacturing: Principles and Applications World Scientific Publishing Company Pte Limited 2014."},{"key":"e_1_3_2_3_2","unstructured":"Wohlers Associates (n.d.). https:\/\/wohlersassociates.com\/2018report.htm (accessed January 2 2019)."},{"key":"e_1_3_2_4_2","unstructured":"3D Printing Market Worth 32.78 Billion USD by 2023 MarketWatch. 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