MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services

https://doi.org/10.1016/j.asoc.2021.107199Get rights and content

Highlights

  • Developed novel intuitionistic fuzzy MARCOS method to assess insurance companies.

  • Insurance firms evaluated in terms of healthcare services.

  • Insurance firms were ranked as per 7 criteria and assessments of 5 experts.

  • The payback period and premium price were found as the most crucial factors.

  • A comprehensive sensitivity analysis was also performed to verify its stability.

  • The COVID-19 performance of insurance companies were determined satisfactory manner.

Abstract

Assessing and ranking private health insurance companies provides insurance agencies, insurance customers, and authorities with a reliable instrument for the insurance decision-making process. Moreover, because the world’s insurance sector suffers from a gap of evaluation of private health insurance companies during the COVID-19 outbreak, the need for a reliable, useful, and comprehensive decision tool is obvious. Accordingly, this article aims to identify insurance companies’ priority ranking in terms of healthcare services in Turkey during the COVID-19 outbreak through a multi-criteria performance evaluation methodology. Herein, alternatives are evaluated and then ranked as per 7 criteria and assessments of 5 experts. Experts’ judgments and assessments are full of uncertainties. We propose a Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS) technique under an intuitionistic fuzzy environment to rank insurance companies. The outcomes yielded ten insurance companies ranking in terms of healthcare services in the era of COVID-19. The payback period, premium price, and network are determined as the most crucial factors. Finally, a comprehensive sensitivity analysis is performed to verify the proposed methodology’s stability and effectiveness. The introduced approach met the insurance assessment problem during the COVID-19 pandemic very satisfactory manner based on sensitivity analysis findings.

Keywords

COVID-19
Private health insurance
Performance of insurance companies
MARCOS
Intuitionistic fuzzy sets

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