Hybrid Decision-Making Method within Dempster-Shafer Framework

Authors

  • Romualdas Bausys Department of Graphical Systems, Vilnius Gediminas Technical University, Lithuania
  • Birute Juodagalviene Department of Graphical Systems, Vilnius Gediminas Technical University, Lithuania
  • Giruta Kazakeviciute-Januskeviciene Department of Graphical Systems, Vilnius Gediminas Technical University, Lithuania
  • Ernestas Cepulionis Department of Graphical Systems, Vilnius Gediminas Technical University, Lithuania
  • Edmundas Kazimieras Zavadskas Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Lithuania

DOI:

https://doi.org/10.15837/ijccc.2026.1.7246

Keywords:

Multi-Criteria Decision Making, SWARA DS, CoCoSo DS, Dempster-Shafer, Picture Fuzzy Set theory

Abstract

Modern multi-criteria decision-making (MCDM) approaches must handle ambiguous and imprecise initial information about decision-making phenomena in an efficient way. Application of the Dempster-Shafer theory (DST) provides a strong mathematical basis for processing uncertain information. Due to the close relationship between fuzzy sets and DST, various fuzzy set environments are applied to model the DST system to solve multi-criteria decision-making problems. To work on this challenge, a picture fuzzy set (PFS) can be applied to model the vague information. This paper presents a novel MCDM approach, namely the hybrid SWARA DS and CoCoSo DS method, developed within Dempster-Shafer’s framework. The benefits of the new proposed approach in handling MCDM problems involving uncertain criteria and expert weightings are demonstrated through its application in selecting the optimal roof shape for a renovated single-family house. Sensitivity and comparative analyses validate the method’s reliability and effectiveness.

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2026-01-21

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Vol. 21 No. 1 (2026): International Journal of Computers Communications & Control (February)

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Copyright (c) 2025 Romualdas Bausys, Birute Juodagalviene, Giruta Kazakeviciute-Januskeviciene, Ernestas Cepulionis, Edmundas Kazimieras Zavadskas

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