Ethical Dimensions in Supplier Selection Sustainability: Introducing the Modified MARCOS Method via Fuzzy-Rough Set with the LMAW Approach

Authors

  • Adis Puška Department of Public Security, Government of Brčko District of Bosnia and Herzegovina, Brčko, 76100, Bosnia and Herzegovina https://orcid.org/0000-0003-3274-0188
  • Darko Božanić Military Academy, University of Defence in Belgrade, Veljka Lukica Kurjaka 33, Belgrade, 11000, Serbia
  • Anđelka Štilić The College of Tourism, Academy of Applied Studies Belgrade, Belgrade, 11070, Serbia
  • Dragan Pamučar Sustainability Competence Centre, Széchenyi István University, Győr, 9026, Hungary
  • Miroslav Nedeljković Institute of Agricultural Economics, Belgrade, 11060, Serbia
  • Dragan Marinković Department of Structural Analysis, Technical University of Berlin, Berlin, 10623, Germany

DOI:

https://doi.org/10.37256/cm.6620257306

Keywords:

supplier selection, ethical criteria, fuzzy-rough approach, modified Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) method

Abstract

This research presents a novel approach to supplier selection by integrating economic, environmental, and ethical criteria. The case study of Company 3B, a food production company, illustrates this process. Expert decision-making, using a fuzzy-rough approach, is supported by the fuzzy-rough Logarithm Methodology of Additive Weights (LMAW) and the fuzzy-rough modified Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) methods. The fuzzy-rough LMAW method helps determine the importance of criteria, revealing that experts consider the economic criterion the most significant. The Modified MARCOS (M-MARCOS), a simplified version of the MARCOS method, is used to rank suppliers. Results show that Supplier S3 performs the best. These findings are validated through comparisons with other fuzzy-rough methods and a sensitivity analysis. With the MARCOS method comparisons confirming a consistent ranking order, this paper advances supplier selection methodology by introducing a novel approach and improving the usability of the MARCOS method through modifications.

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Published

2025-10-29