Risk Factor Identification and Strategy Ranking in Adult Entertainment: A Circular Pythagorean Fuzzy Set Approach Integrating OCRA and Distance-Based Closeness Measures

Authors

  • Muhammad Kamran Mathematics Research Center, Near East University, 99138 Nicosia, Cyprus; Center of Research and Innovation, Asia International University, Yangiobod MFY, G‘ijduvon Street, House 74, Bukhara, Uzbekistan; Faculty of Engineering and Quantity Surveying, INTI International University Colleges, Nilai, Malaysia https://orcid.org/0009-0000-5467-0497
  • Muhammad Farman Mathematics Research Center, Near East University, 99138 Nicosia, Cyprus; Department of Computer Engineering, Biruni University, Istanbul–34010, Turkey https://orcid.org/0000-0001-7616-0500
  • Chiranjibe Jana Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai 602105, Tamil Nadu, India; Jadara Research Center, Jadara University, Irbid 21110, Jordan https://orcid.org/0000-0002-4541-5336
  • Ziyodullo Sattorovich Elov Center of Research and Innovation, Asia International University, Yangiobod MFY, G‘ijduvon Street, House 74, Bukhara, Uzbekistan https://orcid.org/0009-0006-0436-1577
  • Mohamad Hafez Faculty of Engineering and Quantity Surveying, INTI International University Colleges, Nilai, Malaysia; Faculty of Management, Shinawatra University, Pathum Thani, Thailand https://orcid.org/0000-0002-5227-0577
  • Nikola Ivkovic Faculty of Organization and Informatics, University of Zagreb, Pavlinska 2, 4200 Varaˇ zdin, Croatia https://orcid.org/0000-0003-1730-2518

DOI:

https://doi.org/10.59543/comdem.v3i.18221

Keywords:

Decision Analysis; Health Risk Assessment; Economic Integration; Adult Entertainment; Circular Pythagorean Fuzzy Set; Relative Closeness Coefficients

Abstract

The aim of this study is to determine the main risk factors affecting adult entertainment
economics and to rank them using the CPF-OCRA methodology with
relative closeness weighting. The proposed framework addresses limitations of
conventional fuzzy ranking models by integrating relative closeness coefficients
with circular Pythagorean fuzzy numbers. We propose three main contributions,
namely, (1) a new distance measurement for the CPFS, (2) a criteria weighting
method with the relative closeness coefficients, and (3) an operational competitiveness
rating method for the CPFS. The model is validated on the data provided
by experts on the adult entertainment risk assessment. Comparative analysis
with seven MCDM methods (TOPSIS, VIKOR, COPRAS, ELECTRE II, PROMETHEE,
MABAC, WASPAS) shows strong correlation (avg. 0.96), confirming consistency.
Sensitivity analysis demonstrates ranking stability up to ±20% weight perturbation.
Results indicate that regulated harmony is the optimal strategy, followed by
urban prohibition.

Author Biographies

Muhammad Kamran, Mathematics Research Center, Near East University, 99138 Nicosia, Cyprus; Center of Research and Innovation, Asia International University, Yangiobod MFY, G‘ijduvon Street, House 74, Bukhara, Uzbekistan; Faculty of Engineering and Quantity Surveying, INTI International University Colleges, Nilai, Malaysia

Mathematics Research Center, Near East University, 99138 Nicosia, Cyprus.

Muhammad Farman, Mathematics Research Center, Near East University, 99138 Nicosia, Cyprus; Department of Computer Engineering, Biruni University, Istanbul–34010, Turkey

Mathematics Research Center, Near East University, 99138 Nicosia, Cyprus; e-mail: farmanlink@gmail.com

Department of Computer Engineering, Biruni University, Istanbul–34010, Turkey

Ziyodullo Sattorovich Elov, Center of Research and Innovation, Asia International University, Yangiobod MFY, G‘ijduvon Street, House 74, Bukhara, Uzbekistan

Center of Research and Innovation, Asia International University, Yangiobod MFY, G‘ijduvon Street, House 74, Bukhara, Uzbekistan.

Mohamad Hafez, Faculty of Engineering and Quantity Surveying, INTI International University Colleges, Nilai, Malaysia; Faculty of Management, Shinawatra University, Pathum Thani, Thailand

Faculty of Engineering and Quantity Surviving, INTI International University Colleges, Nilai, Malaysia;

Nikola Ivkovic, Faculty of Organization and Informatics, University of Zagreb, Pavlinska 2, 4200 Varaˇ zdin, Croatia

Faculty of Organization and Informatics, University of Zagreb, Pavlinska 2, 4200 Varaˇ zdin, Croatia.

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Published

2026-08-11

How to Cite

Kamran, M., Farman, M., Jana, C., Elov, Z. S., Hafez, M., & Ivkovic, N. (2026). Risk Factor Identification and Strategy Ranking in Adult Entertainment: A Circular Pythagorean Fuzzy Set Approach Integrating OCRA and Distance-Based Closeness Measures. Computer and Decision Making: An International Journal, 3, 1017–1053. https://doi.org/10.59543/comdem.v3i.18221

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