@revista_internacional{975,
  keywords = {OPA-F-SVNF-MARCOS approach, Indoor sex work, risk assessment, Dombi aggregation operators, Economic evaluation, Multi-attribute decision-making},
  author = {Priyanka Majumder and Amrit Das and Palanivel Kaliyaperumal and Tapan Senapati and Luis Martínez and Ronald R. Yager},
  title = {An OPA-F-Based Single-Valued Neutrosophic Fuzzy MARCOS Approach with Dombi Aggregation Operators for Evaluating Indoor Sex Work Risk in the Economy},
  abstract = {The primary risk factor affecting the economy of indoor sex work is examined in this study. Policymakers must thoroughly examine this factor s complex effects since they have a direct bearing on the financial security of employees and the industry s economic dynamics. Interventions can be designed to improve overall economic well-being in the setting of indoor sex work by addressing and mitigating this significant risk. A hybrid multi-criteria decision-making (MCDM) called Fuzzy Ordinal Priority Approach-Single-Valued Neutrosophic Fuzzy Measurement of Alternatives and Ranking according to COmpromise Solution (OPA-F-SVNF-MARCOS) is created to determine the most important parameter in the study. A thorough multi-criteria decision-making (MCDM) system, such as the MARCOS approach, allows for the consideration of a wide range of elements that impact the danger of indoor sex work, such as social dynamics, legal frameworks, economic indicators, and public health concerns. In the suggested method, OPA-F establishes the weights for the criteria, and SVNF-MARCOS assigns a ranking to each option. Furthermore, Dombi aggregation operators capture the interaction between risk variables and the degrees of uncertainty they are linked with. This study helps those involved in this delicate field—policymakers, law enforcement, and social care providers—make decisions that are better informed and grounded in evidence.},
  year = {0},
  journal = {Applied Soft Computing},
  pages = {111533},
  issn = {1568-4946},
  url = {https://www.sciencedirect.com/science/article/pii/S1568494624003077},
  doi = {https://doi.org/10.1016/j.asoc.2024.111533},
}