Fuzzy and Neutrosophic Cognitive Maps Analysis of the Emergence of COVID-19 Post-vaccination

被引:0
作者
Abd Rhani, Norarida [1 ]
Mazlan, Nurul Eylia Maisarah [2 ]
Azhan, Nur Amani Izzati Mohd [3 ]
Mohamad, Siti Nurul Fitriah [1 ]
Alias, Suriana [1 ]
机构
[1] Univ Teknol MARA, Coll Comp Informat & Math, Sch Comp & Math, Machang 18500, Kelantan, Malaysia
[2] AEM Enersol Sdn Bhd, West Block,Wisma Golden Eagle Realty,142C,Jalan Am, Kuala Lumpur 50450, Malaysia
[3] Hosp Sultan Ismail Petra, KM6,Jalan Kuala Krai Gua Musang, Kuala Krai 18000, Kelantan, Malaysia
来源
MALAYSIAN JOURNAL OF FUNDAMENTAL AND APPLIED SCIENCES | 2024年 / 20卷 / 04期
关键词
Covid-19; post-vaccination; fuzzy cognitive maps; neutrosophic cognitive maps; neutrosophic set;
D O I
10.11113/mjfas.v20n4.3472
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
After several years of the spread of coronavirus disease 2019 (COVID-19) around the world occurred, World Health Organization (WHO) has stimulated great efforts to develop a vaccine against the COVID-19. Therefore, all of citizen is obliged to take the vaccine for precaution. However, the vaccine is only one step to reduce the spreadness of COVID-19, where the appearance of COVID-19 can occur after vaccination. Some peoples do not understand the vaccine function where it is used to prevent spreading COVID-19. This research analysed the emergence of COVID-19 post-vaccination by using the method of fuzzy and neutrosophic cognitive maps. The collected data from an interview with two experts called as a concept and from there the directed graph and adjacency matrix are constructed. Multiplication between vectors and matrices are repeated until the fixed point in finding the hidden pattern for all the concepts for COVID-19 post-vaccination obtained. The results obtained from this study are useful to all to know the factors caused of the epidemic after vaccinated as well as the procedures to be followed to protect from this disease.
引用
收藏
页码:801 / 812
页数:12
相关论文
共 14 条
[1]   A novel method for solving the fully neutrosophic linear programming problems [J].
Abdel-Basset, Mohamed ;
Gunasekaran, M. ;
Mohamed, Mai ;
Smarandache, Florentin .
NEURAL COMPUTING & APPLICATIONS, 2019, 31 (05) :1595-1605
[2]   NMCDA: A framework for evaluating cloud computing services [J].
Abdel-Basset, Mohamed ;
Mohamed, Mai ;
Chang, Victor .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 86 :12-29
[3]   Neutrosophic Association Rule Mining Algorithm for Big Data Analysis [J].
Abdel-Basset, Mohamed ;
Mohamed, Mai ;
Smarandache, Florentin ;
Chang, Victor .
SYMMETRY-BASEL, 2018, 10 (04)
[4]  
Cepeda LL, 2021, NEUTROSOPHIC SETS SY, V44, P90
[5]   COGNITIVE-MAP-BASED DECISION-ANALYSIS BASED ON NPN LOGICS [J].
CHEN, SM .
FUZZY SETS AND SYSTEMS, 1995, 71 (02) :155-163
[6]  
Elengoe A., 2012, Osong Public Health and Research Perspectives, V3, P62
[7]  
Kandasamy W. B. V., 2003, Fuzzy cognitive maps and neutrosophic cognitive maps
[8]   FUZZY COGNITIVE MAPS [J].
KOSKO, B .
INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES, 1986, 24 (01) :65-75
[9]  
Murugesan R., 2023, Neutrosophic Sets and Systems, V55, P20
[10]  
Ramalingam Sujatha Govindan Kuppuswami Broumi Said, 2021, NEUTROSOPHIC SETS SY, V42, P102