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B Additional Affiliation(s). b In the published publication [[1]], there was an error regarding the affiliation(s) for B "Guihua, Jiang" b . In addition to affiliation(s) B "2 The Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou 510317, China;" b , the updated affiliation(s) should include: B "1 The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China;" b . Correlation between Hypoperfusion Intensity Ratio and Functional Outcome in Large-Vessel Occlusion Acute Ischemic Stroke: Comparison with Multi-Phase CT Angiography. [Extracted from the article]

Effective management of municipal solid waste (MSW) is critical for urban planning and development. This study aims to develop an integrated type 1 and type 2 fuzzy sets chance-constrained programming (ITFCCP) model for tackling regional MSW management problem under a fuzzy environment, where waste generation amounts are supposed to be type 2 fuzzy variables and treated capacities of facilities are assumed to be type 1 fuzzy variables. The evaluation and expression of uncertainty overcome the drawbacks in describing fuzzy possibility distributions as oversimplified forms. The fuzzy constraints are converted to their crisp equivalents through chance-constrained programming under the same or different confidence levels. Regional waste management of the City of Dalian, China, was used as a case study for demonstration. The solutions under various confidence levels reflect the trade-off between system economy and reliability. It is concluded that the ITFCCP model is capable of helping decision makers to generate reasonable waste-allocation alternatives under uncertainties. [ABSTRACT FROM AUTHOR]