q-Rung Orthopair Fuzzy Modified Dissimilarity Measure Based Robust VIKOR Method and its Applications in Mass Vaccination Campaigns in the Context of COVID-19

Khan, Muhammad Jabir; Ali, Muhammad Irfan; Kumam, Wiyada; Al-Kenani, Ahmad N.

doi:10.1109/access.2021.3091179

Cited by 19 publications

(8 citation statements)

References 43 publications

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“…The q -ROF preference ranking organization method for enrichment of evaluations (PROMETHEE) method was successfully applied to selecting the suitable contractor for a construction company (Akram 2021 ). Appropriate region for carrying out mass vaccination campaigns against COVID-19 was chosen by q -ROF robust Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method (Khan et al 2021c ). Alkan and Kahraman ( 2021 ) also proposed two novel q -ROF TOPSIS methods to evaluate government strategies against COVID-19.…”

Section: Introductionmentioning

confidence: 99%

Generalized q-rung orthopair fuzzy interactive Hamacher power average and Heronian means for MADM

Chen

Pei

2023

Artif Intell Rev

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In this paper, we establish a novel q -rung orthopair fuzzy ( q -ROF) multi-attribute decision making (MADM) model on the basis of the proposed q -ROF interactive Hamacher weighted adjustable power average ( q -ROFIHWAPA) and q -ROF interactive Hamacher weighted coordinated Heronian means (HMs), which (1) can reflect the correlations among multiple attributes; (2) weakens the impacts of the extreme evaluation values more reasonably; (3) considers the interactions between the membership degree (MD) and non-membership degree (N-MD) of different q -ROF numbers ( q -ROFNs); (4) has the characteristic of generality (It can generate different methods by different operations). Firstly, the q -ROF interactive Hamacher operations, improved score function and new q -ROF entropy ( q -ROFE) formula, which are the necessary raw materials for the implementation of MADM, are presented. Secondly, we introduce the adjustable power average (APA) and its weight form (WAPA) to remedy the deficiencies of the classical power averages (PAs). Afterwards we extend the WAPA to q -ROF circumstance and propose the q -ROF interactive Hamacher WAPA ( q -ROFIHWAPA), and its basic properties are analyzed. Further, the entropy weight fitting method is presented to determine the parameter carried by the q -ROFIHWAPA. Thirdly, inspired by the evolutionary process of Bonferroni means (BMs), we define the weighted coordinated HM (WCHM) and weighted geometric coordinated HM (WGCHM) based on the traditional HMs, respectively, which eliminate the redundancy of the dual generalized weighted BM (DGWBM) and dual generalized weighted Bonferroni geometric mean (DGWBGM), i.e., the case of Then we develop the q -ROF interactive Hamacher WCHM ( q -ROFIHWCHM) and q -ROF interactive Hamacher WGCHM ( q -ROFIHWGCHM) by combining them with the q -ROF interactive Hamacher operations, and the common properties and special cases are also investigated. Finally, we create a MADM algorithm relied on the q -ROFIHWAPA and q -ROFIHWCHM (resp. q -ROFIHWGCHM), and a practical example is introduced to illustrate the effectiveness and superiority of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Generalized q-rung orthopair fuzzy interactive Hamacher power average and Heronian means for MADM

Chen

Pei

2023

Artif Intell Rev

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“…The most recent research presented in the vaccine category is Ref. [ 51 ], which uses q-ROFSs and VIKOR for applications in mass-vaccination campaigns in the COVID-19 context.…”

Section: Comprehensive Taxonomymentioning

confidence: 99%

“…The proliferation of COVID-19 has likewise resulted in extensive economic and social damages. COVID-19 affects the majority of population groups, but it is most dangerous to the elderly, people with disabilities, those living in poverty, homeless people, refugees, migrants, youth, and indigenous peoples [ 51 ]. Evidently, addressing this challenge appropriately constitutes substantial difficulties.…”

Section: Challengesmentioning

confidence: 99%

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Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions

Alamoodi

Zaidan

Albahri

et al. 2023

Complex Intell. Syst.

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When COVID-19 spread in China in December 2019, thousands of studies have focused on this pandemic. Each presents a unique perspective that reflects the pandemic’s main scientific disciplines. For example, social scientists are concerned with reducing the psychological impact on the human mental state especially during lockdown periods. Computer scientists focus on establishing fast and accurate computerized tools to assist in diagnosing, preventing, and recovering from the disease. Medical scientists and doctors, or the frontliners, are the main heroes who received, treated, and worked with the millions of cases at the expense of their own health. Some of them have continued to work even at the expense of their lives. All these studies enforce the multidisciplinary work where scientists from different academic disciplines (social, environmental, technological, etc.) join forces to produce research for beneficial outcomes during the crisis. One of the many branches is computer science along with its various technologies, including artificial intelligence, Internet of Things, big data, decision support systems (DSS), and many more. Among the most notable DSS utilization is those related to multicriterion decision making (MCDM), which is applied in various applications and across many contexts, including business, social, technological and medical. Owing to its importance in developing proper decision regimens and prevention strategies with precise judgment, it is deemed a noteworthy topic of extensive exploration, especially in the context of COVID-19-related medical applications. The present study is a comprehensive review of COVID-19-related medical case studies with MCDM using a systematic review protocol. PRISMA methodology is utilized to obtain a final set of (n = 35) articles from four major scientific databases (ScienceDirect, IEEE Xplore, Scopus, and Web of Science). The final set of articles is categorized into taxonomy comprising five groups: (1) diagnosis (n = 6), (2) safety (n = 11), (3) hospital (n = 8), (4) treatment (n = 4), and (5) review (n = 3). A bibliographic analysis is also presented on the basis of annual scientific production, country scientific production, co-occurrence, and co-authorship. A comprehensive discussion is also presented to discuss the main challenges, motivations, and recommendations in using MCDM research in COVID‐19-related medial case studies. Lastly, we identify critical research gaps with their corresponding solutions and detailed methodologies to serve as a guide for future directions. In conclusion, MCDM can be utilized in the medical field effectively to optimize the resources and make the best choices particularly during pandemics and natural disasters.

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“…In the q-ROF context, apart from the development of various aggregation operators (Peng and Luo, 2021;Saha et al, 2022a), the alternative ranking techniques have become one of the focuses of many scholars. So far, various types of decision-making techniques have been extended and utilized in the q-ROF environment, and these methods can be classified according to their characteristics as: (1) the distance-based methods, such as TOPSIS (Dincer et al, 2022;Pinar et al, 2021;Ye et al, 2021;Alkan and Kahraman, 2021;Pinar and Boran, 2020;Khan et al, 2021b), TODIM (Krishankumar et al, 2021;Chen et al, 2021;Arya and Kumar, 2021;Liu et al, 2021;Wang and Li, 2018), VIKOR (Khan et al, 2021a;Sun et al, 2021), CODAS (Deveci et al, 2022a), EDAS (Darko and Liang, 2020;Liang et al, 2023), andMABAC (Gong et al, 2020;Wang et al, 2020a); (2) the utility-based approaches, such as WASPAS (Deveci et al, 2022b;Xiao et al, 2022), ARAS (Mishra and Rani, 2021), COPRAS (Krishankumar et al, 2019) and MARCOS (Ali, 2022); (3) the distance-and utility-based hybrid approaches, such as MULTIMOORA (Mishra et al, 2022;Riaz et al, 2022;Aydemir and Gunduz, 2020), PROMETHEE Akram and Shumaiza, 2021;Zhang et al, 2021b), DNMA (Saha et al, 2022b), CoCoSo (Deveci et al, 2022c), and GLDS Liao et al, 2020); (4) other methods, such as ORESTE (Long and Liao, 2021) and Thermodynamic Zhang et al, 2021a). These aforementioned decision-making approaches have been widely applied to handle complex decision i...…”

Section: Introductionmentioning

confidence: 99%

A Lance Distance-Based MAIRCA Method for q-Rung Orthopair Fuzzy MCDM with Completely Unknown Weight Information

Wang¹,

Xu²,

Pamučar³

et al. 2023

Informatica

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The purpose of this manuscript is to develop a novel MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) method to solve the MCDM (Multiple Criteria Decision-Making) problems with completely unknown weights in the q-rung orthopair fuzzy (q-ROF) setting. Firstly, the new concepts of q-ROF Lance distance are defined and some related properties are discussed in this paper, from which we establish the maximizing deviation method (MDM) model for q-ROF numbers to determine the optimal criteria weight. Then, the Lance distance-based MAIRCA (MAIRCA-L) method is designed. In it, the preference, theoretical and real evaluation matrices are calculated considering the interaction relationship in q-ROF numbers, and the q-ROF Lance distance is applied to obtain the gap matrix. Finally, we manifest the effectiveness and advantage of the q-ROF MAIRCA-L method by two numerical examples.

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q-Rung Orthopair Fuzzy Modified Dissimilarity Measure Based Robust VIKOR Method and its Applications in Mass Vaccination Campaigns in the Context of COVID-19

Cited by 19 publications

References 43 publications

Generalized q-rung orthopair fuzzy interactive Hamacher power average and Heronian means for MADM

Generalized q-rung orthopair fuzzy interactive Hamacher power average and Heronian means for MADM

Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions

A Lance Distance-Based MAIRCA Method for q-Rung Orthopair Fuzzy MCDM with Completely Unknown Weight Information

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