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. 2021 Jun:104:107199.
doi: 10.1016/j.asoc.2021.107199. Epub 2021 Feb 18.

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

Fatih Ecer  1 , Dragan Pamucar  2
Affiliations

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

Fatih Ecer et al. Appl Soft Comput. 2021 Jun.

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; Intuitionistic fuzzy sets; MARCOS; Performance of insurance companies; Private health insurance.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Development of private health insurance in Turkey.
Fig. 2
Fig. 2
Plots of IFNs [μ, v, Π].
Fig. 3
Fig. 3
The flowchart of the proposed approach.
Fig. 4
Fig. 4
DM’s weights through 50 scenarios.
Fig. 5
Fig. 5
Influence of change of weight coefficients DM1 and DM2 on change of utility functions.
Fig. 6
Fig. 6
Criteria weights through 50 scenarios.
Fig. 7
Fig. 7
Influence of change of criterion weights on change of utility functions.
Fig. 8
Fig. 8
Ranks of the alternatives based on different IF methodologies.
None
See this image and copyright information in PMC

References

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