El-Feky S.F.Abou-El-Enien T.H.M.Faculty of Computer ScienceDepartment of Computer ScienceModern Science and Arts UniversityGiza12613Egypt; Department of Operations Research and Decision SupportFaculty of Computers and InformationCairo UniversityGiza12613Egypt2020-01-092020-01-09201916331311https://doi.org/10.18280/isi.240101PubMed ID :https://t.ly/P5WK1ScopusThe purpose of this paper is to generate compromise solutions for the multi-level multiobjective decision making (MLMODM) problems with rough parameters in the objective functions (RMLMODM) based on TOPSIS method and "Lower & Upper� approximations method. We introduce a computational hybrid algorithm for solving RMLMODM problems. Also, we solved illustrative numerical example and compared the solution of the proposed algorithm with the solution of Global Criterion (GC) method. The engineers and the scientists can apply the introduced hybrid algorithm to various practical RMLMODM problems to obtain numerical solutions. � 2019 Lavoisier. All rights reserved.EnglishCompromise programmingGlobal criterion methodMulti-level programmingMulti-objective programmingRough programmingTOPSIS methodDecision makingMultiobjective optimizationCompromise programmingGlobal criterion methodMultilevel programmingMultiobjective programmingTOPSIS methodNumerical methodsArticlehttps://doi.org/10.18280/isi.240101PubMed ID :