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This article eliminates this weight assignment process by proposing a robot selection methodology based on linear physical programming. In addition, fuzzy logic was integrated into the proposed approach in order to determine the preference values of subjective robot evaluation criteria. A numerical example is also provided in order to present the applicability of the proposed methodology.<\/jats:p>","DOI":"10.4018\/ijrat.2017070101","type":"journal-article","created":{"date-parts":[[2018,1,11]],"date-time":"2018-01-11T21:17:22Z","timestamp":1515705442000},"page":"1-17","source":"Crossref","is-referenced-by-count":1,"title":["Integrating Linear Physical Programming and Fuzzy Logic for Robot Selection"],"prefix":"10.4018","volume":"5","author":[{"given":"Mehmet Ali","family":"Ilg\u0131n","sequence":"first","affiliation":[{"name":"Manisa Celal Bayar University, Manisa, Turkey"}]}],"member":"2432","reference":[{"issue":"2","key":"IJRAT.2017070101-0","first-page":"201","article-title":"Practical common weights goal programming approach for technology selection.","volume":"3","author":"A.Alinezhada","year":"2009","journal-title":"Mathematical Sciences"},{"key":"IJRAT.2017070101-1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-014-5620-2"},{"key":"IJRAT.2017070101-2","doi-asserted-by":"publisher","DOI":"10.1080\/17509653.2014.880076"},{"key":"IJRAT.2017070101-3","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechmachtheory.2004.05.020"},{"key":"IJRAT.2017070101-4","doi-asserted-by":"publisher","DOI":"10.1080\/00207540500137217"},{"key":"IJRAT.2017070101-5","doi-asserted-by":"publisher","DOI":"10.1080\/002075499189718"},{"issue":"1","key":"IJRAT.2017070101-6","first-page":"102","article-title":"Integration of Fuzzy Shannon\u2019s Entropy with fuzzy TOPSIS for industrial robotic system selection.","volume":"5","author":"A. 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