An Integrated Decision-Making Approach Based on q-Rung Orthopair Fuzzy Sets in Service Industry

International Journal of Computational Intelligence Systems

Hasan Dinçer¹  Serhat Yüksel¹  Yeter Demir Uslu²  Erman Gedikli²  Emre Yılmaz² 

[1] School of Business, Istanbul Medipol University;School of Health, Istanbul Medipol University;

关键词: Fuzzy logic;    q-Rung orthopair fuzzy sets;    Intuitionistic fuzzy sets;    Strategic priorities;   

DOI  :  10.1007/s44196-022-00069-6

来源: DOAJ

【 摘 要 】

Abstract This study defines key issues for sustainable healthcare policy in COVID-19 period. For this purpose, 9 different criteria that affect vaccine hesitancy are selected with the help of a detailed literature evaluation. A novel hybrid fuzzy decision-making model is developed using DEMATEL and TOPSIS based on q-Rung orthopair fuzzy sets. A comparative evaluation has also been performed using IF DEMATEL and PF DEMATEL. The results of all different methods are almost the same that indicates the reliability and coherency of the proposed model. The findings demonstrate that religion is the most critical factor that causes vaccine hesitancy. It is also defined that active population in daily life is the most important alternative. Developing countries should mainly focus on the actions regarding the religious issues to have sustainable healthcare policies in COVID-19 period. In this context, religious leaders can be released to the media and give information that the vaccine is not against religious rules. This has a significant contribution to convince people who are against the vaccine. Furthermore, these countries should also give priorities to the active population in daily life. Because this group supports the workforce in the country very seriously, it can be possible to increase the workforce in the country by completing the vaccination of this group that helps to boost economic development.

【 授权许可】

Unknown