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Using a linear combination of possibility and necessity measures, the problem is formulated as a fuzzy expected value model. Then the crisp equivalent is derived when the fuzzy costs and demand are characterized by triangular fuzzy numbers. Finally, a numerical example is given to illustrate the effectiveness of the proposed algorithm.<\/jats:p>","DOI":"10.3233\/ifs-141495","type":"journal-article","created":{"date-parts":[[2015,10,6]],"date-time":"2015-10-06T12:04:49Z","timestamp":1444133089000},"page":"761-767","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["An expected value approach involving linear combination of possibility and necessity measures for a fuzzy EOQ model"],"prefix":"10.1177","volume":"29","author":[{"given":"Sk. Md. 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