A Hyperbolic Fuzzy MCDM Framework Integrating LOPCOW, DEMATEL, and COPRAS for Enterprise Resource Planning System Selection

T.R. Sandra; Kattur Soundarapandian Ravichandran

doi:10.67334/cds31202647

Authors

T.R. Sandra Department of Mathematics, Amrita School of Physical Science, Amrita Vishwa Vidyapeetham, India Author https://orcid.org/0009-0008-9832-4834
Kattur Soundarapandian Ravichandran Department of Mathematics, Amrita School of Physical Science, Amrita Vishwa Vidyapeetham, India Author https://orcid.org/0000-0003-2397-461X

DOI:

https://doi.org/10.67334/cds31202647

Keywords:

Decision making, DEMATEL, LOPCOW, Enterprise Resource Planning, COPRAS, ERP selection

Abstract

Selecting the most suitable Enterprise Resource Planning (ERP) system is an important decision for organizations seeking to improve operational efficiency and competitiveness. This study proposes an integrated multi-criteria decision-making (MCDM) framework that combines the LOPCOW-DOBI method for expert weighting, hyperbolic fuzzy numbers to capture uncertainty in expert judgments, DEMATEL to examine cause-and-effect relationships among evaluation criteria, and COPRAS for the final ranking of ERP alternatives. Six evaluation criteria were identified: customization, support, implementation time, cost, ease of use, and integration. The DEMATEL analysis identified customization and support as the most influential criteria. Among the five ERP alternatives evaluated, ERP 2 emerged as the most suitable option. The proposed hybrid approach provides an effective mechanism for managing vagueness and subjectivity in expert judgments and supports more informed decision-making in the ERP selection process. The framework also has broader applicability and can be extended to other complex decision-making contexts involving interdependent criteria and uncertainty.

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