The applications of MCDM methods in COVID-19 pandemic: A state of the art review

Sotoudeh-Anvari, Alireza

doi:10.1016/j.asoc.2022.109238

Cited by 115 publications

(40 citation statements)

References 201 publications

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“…Figure 4 clearly shows an increase in the results in the last years that can prove the popularity of MCDM methods in recent studies. Due to the multi-dimensionality of this crisis and the complexity of the socio-economic and health systems, MCDM approaches have grown in popularity for simulating COVID-19 concerns [14]. It should be noted that MCDM tactics are directly related to solutions to sustainability issues.…”

Section: Research On Multi-criteria Decision Makingmentioning

confidence: 99%

Multi-Criteria Decision Making (MCDM) Methods and Concepts

Taherdoost

Madanchian²

2023

Encyclopedia

292

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Multi-criteria decision-making (MCDM) is one of the main decision-making problems which aims to determine the best alternative by considering more than one criterion in the selection process. MCDM has manifold tools and methods that can be applied in different fields from finance to engineering design. This entry aims to provide a survey on the MCDM concept, its applications, main categories, and different methods. The final section provides manifold information and statistics on the published works in the MCDM fields. Some of the main methods are also listed in this section.

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Section: Research On Multi-criteria Decision Makingmentioning

confidence: 99%

Multi-Criteria Decision Making (MCDM) Methods and Concepts

Taherdoost

Madanchian²

2023

Encyclopedia

292

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“…Due to involvement of fuzziness and ambiguity associated with qualitative decision making, fuzzy MCDM. However, author [18] presents a critique review of fuzzy methods. In the study it is found that fuzzy MCDM methods are computationally complex and heavy to obtain clear advantages of fuzzy methods.…”

Section: Literature Reviewmentioning

confidence: 99%

“…A focus on the difficulty of choosing the optimal classification model [33] when various evaluation factors are considered, and there is diversity in these criteria. [3], [19], [20] Hybrid MCDM 3 [4], [8], [18] Fuzzy analytical hierarchical process 3 [9], [15], [22] Ensemble Method 3 [2], [21] Evidence Matrix 2 [5], [13],…”

Section: Literature Reviewmentioning

confidence: 99%

Studies on Multi-Criteria Decision-Making Based Healthcare Systems Using The Machine Learning

HODA

Mondal

2023

JAIT

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There is a lot of information in healthcare and medical records. However, it is challenging for humans to turn data into information and spot hidden patterns in today's digitally-based culture. Effective decision-support technologies can help medical professionals find critical information concealed in voluminous data and support their clinical judgments as well as in different healthcare management activities. Research paper presented an extensive literature survey for Healthcare systems using the machine learning that is based on Multiple criteria decision making (MCDM). Various existing studies are considered for review and a critical analysis is being done through the reviews study which can help to the researchers to explore further research area to cater the need of the field

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“…The multiple criteria decision-making (MCDM) problems appear in the field of business, medical, and public health sectors, so it has been an active area of research during the last couple of decades (see: [1], [2], [3], [4], [5]). Various methods are proposed to solve the MCDM problems (see: [6], [7], [8]). Here, the novel extensions of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Grey Relational Analysis (GRA) are proposed in the Atanassov intuitionistic fuzzy set (AIFS) environment to solve the MCDM problems.…”

Section: Introductionmentioning

confidence: 99%

Proposed Intuitionistic Fuzzy Entropy Measure Along With Novel Multicriteria Sorting Techniques

Tiwari

Lohani

2023

IEEE Access

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Recently, the major environmental changes and a pandemic called COVID-19 have heavily impacted the economy, business, and health of each country. Moreover, the climatic changes and COVID-19 are calamities to human life. In other words, these two aspects threaten the existence of humans and the sustenance of the all-around development of a country. These two factors particularly influence the tourism sector, so a strategy balancing environmental quality and dealing with the ill effects of COVID-19 is formulated to uplift the economic sectors. Atannasov's intuitionistic fuzzy domain is used to model the environmental quality and COVID-19 due to the involvement of hesitancy and uncertainty. The precise measurement of the imprecision in the information is obtained with the help of entropy measure. The paper analyzes the two aspects using a novel entropy measure based on multiple criteria sorting (MCS). Here, the two MCS problems are solved with the help of two proposed techniques: TOPSIS-GREY-sort and ENTROPY-TOPSIS-GREY-sort. A case study showing the impact of COVID-19 in the Philippines and the environmental quality of Tehran (the capital city of Iran) are considered to validate the functioning of the proposed techniques. We use "A novel sorting method TOPSIS-SORT: an application for Tehran environmental quality evaluation (2016), Ekonomica a management", and "Current Issues in Tourism 25.2(2022): 168-178, Taylor and Francis" for the comparative analysis.INDEX TERMS Atanassov intuitionistic fuzzy set (AIFS), Multi critria sorting (MCS), Entropy, COVID-19, Environmental quality, TOPSIS, GRA.

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The applications of MCDM methods in COVID-19 pandemic: A state of the art review

Cited by 115 publications

References 201 publications

Multi-Criteria Decision Making (MCDM) Methods and Concepts

Multi-Criteria Decision Making (MCDM) Methods and Concepts

Studies on Multi-Criteria Decision-Making Based Healthcare Systems Using The Machine Learning

Proposed Intuitionistic Fuzzy Entropy Measure Along With Novel Multicriteria Sorting Techniques

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