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Analytic hierarchy process (AHP), one of the multi-criteria decision-making methods based on weighting of objectives, is designed to solve complex problems. In this study, multiple criteria decision making problems and decision makers\u2019 opinions on these problems as well as their solution processes are discussed. Firstly, a fuzzy multi objective linear programming problem is solved using the approaches of Zimmerman and Hybrid. In the literature, these methods are applied using triangular fuzzy numbers based on decision makers\u2019 opinions only in cases where the objective function is minimization. In this study, as an alternative to the triangular fuzzy numbers, trapezoidal fuzzy numbers are defined, and both minimization and maximization of objective functions are examined. Finally, a solution algorithm for a fuzzy multi-objective linear programming problem is proposed under some given conditions. The algorithm is applied to a sample problem that involves modeling of a congress organizing which aims to place attendees to accommodations under specific objectives and constraints. In the evaluation phase of the algorithm, targets are weighted by using triangular and trapezoidal fuzzy numbers. At the end, the results of the proposed algorithm are compared with the results of other methods in the literature.<\/jats:p>","DOI":"10.3233\/jifs-16041","type":"journal-article","created":{"date-parts":[[2016,8,19]],"date-time":"2016-08-19T10:27:35Z","timestamp":1471602455000},"page":"1869-1879","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Evaluation of trapezoidal fuzzy numbers on\u00a0AHP based solution of multi-objective programming problems"],"prefix":"10.1177","volume":"31","author":[{"given":"Serkan","family":"Akba\u015f","sequence":"first","affiliation":[{"name":"Department of Statistics and Computer Sciences, Faculty of Sciences, Karadeniz Technical University, Trabzon, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T\u00fcrkan Erbay","family":"Dalkili\u00e7","sequence":"additional","affiliation":[{"name":"Department of Statistics and Computer Sciences, Faculty of Sciences, Karadeniz Technical University, Trabzon, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2016,6,27]]},"reference":[{"key":"e_1_3_1_2_2","first-page":"3","article-title":"Measurement of supplier performance at supply chain management by using fuzzy AHP method: A study at automotive subcontractor industry","volume":"2","author":"Akman G.","year":"2006","unstructured":"AkmanG. and AlkanA., Measurement of supplier performance at supply chain management by using fuzzy AHP method: A study at automotive subcontractor industry, Istanbul Commer, Univ Nat Appl Sci J2 (2006), 3\u201346.","journal-title":"Istanbul Commer, Univ Nat Appl Sci J"},{"key":"e_1_3_1_3_2","unstructured":"ArikanV.S. 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