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

被引:13
|
作者
Uslu, Yeter Demir [1 ]
Dincer, Hasan [2 ]
Yuksel, Serhat [2 ]
Gedikli, Erman [1 ]
Yilmaz, Emre [1 ]
机构
[1] Istanbul Medipol Univ, Sch Hlth, Kavacik Campus, TR-34810 Istanbul, Turkey
[2] Istanbul Medipol Univ, Sch Business, Kavacik Campus, TR-34810 Istanbul, Turkey
关键词
Fuzzy logic; q-Rung orthopair fuzzy sets; Intuitionistic fuzzy sets; Strategic priorities; COVID-19 VACCINE HESITANCY;
D O I
10.1007/s44196-022-00069-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Multicriteria decision-making based on the confidence level Q-rung orthopair normal fuzzy aggregation operator
    Kumar, Manish
    Gupta, S. K.
    GRANULAR COMPUTING, 2023, 8 (01) : 77 - 96
  • [42] A hybrid decision making method based on q-rung orthopair fuzzy soft information
    Akram, Muhammad
    Shahzadi, Gulfam
    Butt, Muhammad Arif
    Karaaslan, Faruk
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 40 (05) : 9815 - 9830
  • [43] Information measures for q-rung orthopair fuzzy sets
    Peng, Xindong
    Liu, Lin
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2019, 34 (08) : 1795 - 1834
  • [44] Group decision-making framework under linguistic q-rung orthopair fuzzy Einstein models
    Akram, Muhammad
    Naz, Sumera
    Edalatpanah, S. A.
    Mehreen, Rida
    SOFT COMPUTING, 2021, 25 (15) : 10309 - 10334
  • [45] q-Rung orthopair fuzzy soft average aggregation operators and their application in multicriteria decision-making
    Hussain, Azmat
    Ali, Muhammad Irfan
    Mahmood, Tahir
    Munir, Muhammad
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2020, 35 (04) : 571 - 599
  • [46] Another view on q-rung orthopair fuzzy sets
    Ali, Muhammad Irfan
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2018, 33 (11) : 2139 - 2153
  • [47] A family of similarity measures for q-rung orthopair fuzzy sets and their applications to multiple criteria decision making
    Farhadinia, Bahram
    Effati, Sohrab
    Chiclana, Francisco
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 36 (04) : 1535 - 1559
  • [48] Multi-attribute decision-making with (p, q)-rung orthopair fuzzy sets
    Shahzadi, Gulfam
    Shahzadi, Sundas
    Ahmad, Rana Talha
    Deveci, Muhammet
    GRANULAR COMPUTING, 2024, 9 (01)
  • [49] Multi-attribute decision-making with (p, q)-rung orthopair fuzzy sets
    Gulfam Shahzadi
    Sundas Shahzadi
    Rana Talha Ahmad
    Muhammet Deveci
    Granular Computing, 2024, 9
  • [50] Multi-attribute decision making based on the q-rung orthopair fuzzy Yager power weighted geometric aggregation operator of q-rung orthopair fuzzy values
    Dhankhar, Chirag
    Kumar, Kamal
    GRANULAR COMPUTING, 2023, 8 (05) : 1013 - 1025