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Although conventional multiple attributes decision\u2010making (MADM) methodologies have provided feasible ways to select contractor, high complexity in scenarios of megaprojects still challenges existing MADM methods in concurrently accommodating three key issues of decision hesitancy, attributes interdependency, and group attitudinal character. To elicit decision\u2010makers\u2019 hesitant fuzzy assessments more objectively and comprehensively, we define an expression tool called interval\u2010valued dual hesitant fuzzy uncertain unbalanced linguistic set (IVDHF_UUBLS) and develop aggregation operators through its operations. To exploit attributes interdependency, we establish a synthesized attributes\u2019 weighting model to fuse an attributes interdependency\u2010based weighting vector and an argument\u2010dependent weighting vector, which are, respectively, derived through Decision\u2010Making and Trial Evaluation Laboratory (DEMATEL) technique and maximizing deviation method. To effectively utilize decision\u2010makers\u2019 group attitudinal characters, we also develop a TOPSIS\u2010based method to rationally transform group ideal attitudes into order\u2010inducing vectors. On the strength of the above methods, an integrated MADM approach is then constructed. 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