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This paper proposes a common-weight method from two optimistic and pessimistic perspectives in fuzzy environment to determine the common sets of weights (CWS) to compute the best and the worst fuzzy efficiencies of all DMUs. The advantages of using common-weight DEA method based upon fuzzy arithmetic approach are reduction of the computational complexities and evaluation of equitably the best and the worst fuzzy efficiencies on the same base. The proposed approach first solves one linear programming model to compute each of the best and the worst fuzzy efficiencies of all DMUS, and then combines them to find a relative closeness index for the overall assessment. The developed approach is illustrated by a numerical example form the literature and the obtained results are compared with those from the existing ones.<\/jats:p>","DOI":"10.1007\/s40747-023-01030-6","type":"journal-article","created":{"date-parts":[[2023,4,27]],"date-time":"2023-04-27T07:02:13Z","timestamp":1682578933000},"page":"6223-6240","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Common-weights fuzzy DEA model in the presence of undesirable outputs with ideal and anti-ideal points: development and prospects"],"prefix":"10.1007","volume":"9","author":[{"given":"Meysam","family":"Majdi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6003-6601","authenticated-orcid":false,"given":"Ali","family":"Ebrahimnejad","sequence":"additional","affiliation":[]},{"given":"Amir","family":"Azizi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,4,27]]},"reference":[{"issue":"3","key":"1030_CR1","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1080\/16168658.2022.2152921","volume":"14","author":"SR Abbasi","year":"2022","unstructured":"Abbasi SR, Askarinejad S, Foroughi AA (2022) Evaluating the efficiency of decision making units in fuzzy two-stage DEA models. 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