Abstract
Evaluating and ranking confidential fitness assurance enterprises gives assurance organizations, assurance clients, and agencies a consistent mechanism for the coverage of decision-making methods. Additionally, since the planet's coverage region hurts from a gap of assessment of confidential fitness coverage enterprises through the COVID-19 epidemic, the necessity for a consistent, effective, and complete decision instrument is understandable. Appropriately, this manuscript wants to discover coverage corporations’ important ranking in conditions of health care public services in Pakistan through the COVID-19 epidemic across a multi-criteria implementation assessment method. In this study, options are assessed and then ranked as per seven principles and evaluations of five specialists. Specialists’ assessments and evaluations are completed of ambiguities, under the Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS) by using the q-rung orthopair fuzzy circumstances. Ultimately, a complete compassion assessment is presented to confirm the future method's permanence and efficiency. The announced methodology met the coverage evaluation dilemma through the COVID-19 pandemic extremely reasonable approach by using the compassion assessment conclusions.
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Mahmood, T., Ali, Z. (2022). MARCOS Technique by Using q-Rung Orthopair Fuzzy Sets for Evaluating the Performance of Insurance Companies in Terms of Healthcare Services. In: Garg, H. (eds) q-Rung Orthopair Fuzzy Sets. Springer, Singapore. https://doi.org/10.1007/978-981-19-1449-2_14
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