Evaluation of Suitable Accounting and Auditing Firms for SMEs in the Textile Industry with Picture Fuzzy Set-based Entropy & MARCOS Approach

Authors

  • Cem Niyazi Durmus Independent Researchers, CPA, Visiting Research Fellow, Department of Business Administration, Faculty of Economic, Administration, and Social Sciences at Kadir Has University, Kadir Has University, Cibali Av. Kadir Has St. Fatih / Istanbul, Türkiye Author https://orcid.org/0009-0009-1918-8510
  • Omer Faruk Gorcun Department of Business Administration, Faculty of Economic, Administration, and Social Sciences at Kadir Has University Kadir Has University, Cibali Av. Kadir Has St. Fatih / Istanbul, Türkiye Author https://orcid.org/0000-0003-3850-6755

DOI:

https://doi.org/10.31181/jopi41202658

Keywords:

Picture Fuzzy Sets, Entropy Method, MARCOS Method, SMEs, Accounting and Auditing Firms

Abstract

In today's highly competitive and dynamic business environment, selecting appropriate accounting and auditing service providers is critical for the sustainable growth and regulatory compliance of small and medium-sized enterprises (SMEs), particularly in the textile industry. This study proposes an integrated multi-criteria decision-making (MCDM) framework based on Picture Fuzzy Sets (PFS), Entropy, and the Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS) method to evaluate and rank suitable accounting and auditing firms for textile SMEs. Picture Fuzzy Sets are employed to model the inherent uncertainty and hesitancy in expert judgments more effectively, while the entropy method is utilized to determine objective weights for evaluation criteria. The MARCOS approach is then applied to assess and prioritize alternatives based on ideal and anti-ideal solutions. The proposed model is demonstrated through a case study involving expert evaluations from textile sector representatives and financial professionals. The results provide actionable insights for SMEs in selecting optimal accounting and auditing partners, and the robustness of the model is verified through sensitivity and comparative analyses. This study contributes to the literature by offering a novel and practical decision-support framework tailored to the specific needs of SMEs in a key industrial sector.

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Published

2025-06-01

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Copyright (c) 2025 Cem Niyazi Durmus, Omer Faruk Gorcun (Author)

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How to Cite

Durmus, C. N., & Gorcun, O. F. (2025). Evaluation of Suitable Accounting and Auditing Firms for SMEs in the Textile Industry with Picture Fuzzy Set-based Entropy & MARCOS Approach. Journal of Operations Intelligence, 1-22. https://doi.org/10.31181/jopi41202658