Vaccine selection for COVID-19 by AHP and novel VIKOR hybrid approach with interval type-2 fuzzy sets

Z, Büşra Meni; Özkan, E Mehmet

doi:10.1016/j.engappai.2022.105812

Cited by 35 publications

(14 citation statements)

References 44 publications

(52 reference statements)

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“…In recent years, MCDA techniques such as the Analytic Hierarchy Process (AHP), Analytic Network Process (ANP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Complex Proportional Assessment method (Copras), and Best Worst Multi-criteria method (BWM) have been used in different fields. Among these methods, AHP was used by most of the researchers in diverse areas, such as site selection [34], vaccine selection [35], selecting parameter-influencing testing in software development [36], and financial performance modeling in retail companies [37]. In essence, AHP makes complex problems simpler.…”

Section: Literature Reviewmentioning

confidence: 99%

Determining Factors Affecting Perceived Customer Satisfaction on Public Utility Bus System in Occidental Mindoro, Philippines: A Case Study on Service Quality Assessment during Major Disruptions

et al. 2023

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The imposition of lockdown due to the COVID-19 pandemic has affected the majority of enterprises throughout the globe. The public transportation sector was greatly affected, especially in provincial areas in the Philippines. This study aimed to investigate the service quality of bus transits in Occidental Mindoro during the COVID-19 pandemic using Analytical Hierarchy Process (AHP) and SERVQUAL dimensions. A total of 200 individuals completed a 67-question online questionnaire. AHP was utilized to determine which bus providers need to be improved the most. Then, the SERVQUAL approach was used. The five dimensions were linked with the use of new technologies, including the COVID-19 protocol, service quality, and customer satisfaction as latent variables in structural equation modeling. The AHP results indicated that safety accounts for the most significant weight for bus passengers. Moreover, service quality, responsiveness, reliability, empathy, and COVID-19 protocol significantly enhance service and customer satisfaction. The findings of this research study can now serve as a service quality assessment and guidelines to provide a sustainable public bus transportation; it can also help determine the significant and insignificant factors in enhancing the service quality and improving the customer satisfaction of bus providers worldwide.

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Section: Literature Reviewmentioning

confidence: 99%

Determining Factors Affecting Perceived Customer Satisfaction on Public Utility Bus System in Occidental Mindoro, Philippines: A Case Study on Service Quality Assessment during Major Disruptions

et al. 2023

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“…The objective weighting method determines weights by automatically solving mathematical models without considering the preferences of decision makers. There are several representative subjective weighting methods: the vlse kriterijumski optimizacioni racun (VIKOR) method, the technique for order preference by similarity to an ideal solution (TOPSIS) method, the deviation maximization method, and the entropy weight method [ 62 , 63 , 64 , 65 , 66 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to Table 5 ,

, and

appraise Z 1 , Z 2 , and Z 3 based on the above 26 criteria. According to relevant studies [ 63 , 100 , 101 , 102 , 103 , 104 ] and the context of the emergency material supplier selection problem, we use 10 language variables (ranging from Excellent to Very, Very Bad) and make decision makers choose the language variable that best fits the corresponding alternative for evaluation. All calculations in this paper are based on Matlab 2018a software.…”

Section: Illustrative Examplementioning

confidence: 99%

Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection

Liu

Zhu

Yang

et al. 2023

Entropy

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How to ensure the normal production of industries in an uncertain emergency environment has aroused a lot of concern in society. Selecting the best emergency material suppliers using the multicriteria group decision making (MCGDM) method will ensure the normal production of industries in this environment. However, there are few studies in emergency environments that consider the impact of the decision order of decision makers (DMs) on the decision results. Therefore, in order to fill the research gap, we propose an extended MCGDM method, whose main steps include the following: Firstly, the DMs give their assessment of all alternatives. Secondly, we take the AHP method and entropy weight method to weight the criteria and the DMs. Thirdly, we take the intuitionistic fuzzy hybrid priority weight average (IFHPWA) operator we proposed to aggregate evaluation information and take the TOPSIS method to rank all the alternatives. Finally, the proposed method is applied in a case to prove its practicability and effectiveness. The proposed method considers the influence of the decision order of the DMs on the decision results, which improves the accuracy and efficiency of decision-making results.

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“…The VIKOR method requires weight values to produce alternative rankings. Analytic Network Process (ANP) or Analytic Hierarchy Process (AHP) can provide weight values for the VIKOR method [17]. The ANP value is closer to existing reality than AHP, so ANP is more widely used because it provides weight to the feedback analysis [18].…”

Section: Introductionmentioning

confidence: 99%

Modelling of Flood Hazard Early Warning Group Decision Support System

Soebroto,

Limantara,

Suhartanto

et al. 2024

Civ Eng J

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Early warning of flood hazards needs to be carried out comprehensively to avoid a higher risk of disaster. Every decision on early warning of a flood hazard is carried out in part by one party, namely the government or water resource managers. This research aims to provide a collaborative decision-making model for early warning of flood hazards through a Group Decision Support System Model (GDSS), especially in Indonesia. The novelty of this research is that the GDSS model involves more than one decision-maker and multi-criteria decision-making for early warning of flood hazards in the downstream Kali Sadar River, Mojokerto Regency, East Java Province, Indonesia. The GDSS model was developed using a hybrid method, namely the Analytical Network Process (ANP) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). There was more than one decision result; voting was carried out using the BORDA method to produce the decision. The test results of GDSS were obtained using a Spearman rank correlation coefficient of 0.8425 and matrix confusion, an accuracy value of 86.7%, a precision value of 86.7%, a recall value of 86.7%, and an f-measure of 86.7%. Based on the test results, good results were obtained from the GDSS model. Doi: 10.28991/CEJ-2024-010-02-018 Full Text: PDF

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Vaccine selection for COVID-19 by AHP and novel VIKOR hybrid approach with interval type-2 fuzzy sets

Cited by 35 publications

References 44 publications

Determining Factors Affecting Perceived Customer Satisfaction on Public Utility Bus System in Occidental Mindoro, Philippines: A Case Study on Service Quality Assessment during Major Disruptions

Determining Factors Affecting Perceived Customer Satisfaction on Public Utility Bus System in Occidental Mindoro, Philippines: A Case Study on Service Quality Assessment during Major Disruptions

Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection

Modelling of Flood Hazard Early Warning Group Decision Support System

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