Assessment Urban Transport Service and Pythagorean Fuzzy Sets CODAS Method: A Case of Study of Ciudad Juárez

Pérez-Domínguez, Luis; Almeraz-Durán, Sara; López, Roberto Romero; Pérez-Olguín, Iván Juan Carlos; Luviano-Cruz, David; Gómez, Jesús Andrés Hernández

doi:10.3390/su13031281

Cited by 22 publications

(7 citation statements)

References 45 publications

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“… Li et al (2020) explored the passenger satisfaction level of public transportation systems to improve their competitiveness. Pérez-Dominguez et al (2020) analyzed alternatives of public transport lines to provide a comprehensive evaluating method. Seker and Aydin (2020) assessed sustainable public transportation systems for public university campuses in metropolitan areas.…”

Section: Literature Reviewmentioning

confidence: 99%

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Šimić

Ivanović

Djoric

et al. 2022

Sustainable Cities and Society

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The critical worldwide problem of adapting urban transport planning to COVID-19 is for the first time comprehensively addressed and solved in this study. It primarily aims to help transport planners increase the resilience of transport systems. Firstly, a multi-level decision-making hierarchy structure based on four main criteria and 17 sub-criteria is introduced for relevant stakeholders to provide a practical framework for assessing existing transport plans. Then, a three-stage integrated Fermatean fuzzy model for adapting urban transport planning to the pandemic is presented. The model hybridizes the method based on the removal effects of criteria (MEREC) and combined compromise solution (CoCoSo) method into a unique methodological framework under the Fermatean fuzzy environment. A case study provides decision-making guidelines on how to adapt transport plans to COVID-19 in the real-world context of Belgrade, Serbia. The research findings show that the pandemic significantly changed the priorities of transport planning strategies and measures. “Non-motorized travel” is now the best alternative since its numerous short-term measures lead to better transport service. The major advantages of the introduced model are higher flexibility and a more precise fusion of experts’ preference information. The integrated Fermatean fuzzy model could be used for adapting other emerging problems to COVID-19.

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Section: Literature Reviewmentioning

confidence: 99%

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Šimić

Ivanović

Djoric

et al. 2022

Sustainable Cities and Society

View full text Add to dashboard Cite

show abstract

“…CODAS is a relatively new method, but in a short time, individually or in the combination with other methods, it has already been used for solving various problems (e.g. [44][45][46][47]). The problem with conventional BWM and CODAS methods could be the uncertainties of decision-makers during the definition of preferences, which could be avoided by the application of intuitive or interval sets (for example fuzzy, rough, grey).…”

Section: Problem Definitionmentioning

confidence: 99%

Evaluation of Smart City Logistics Solutions

Tadić¹,

Krstić²,

Kovač³

et al. 2022

PROMTT

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The negative effects of goods flows realisation are most visible in urban areas as the places of the greatest concentration of economic and social activities. The main goals of this article were to identify the applicable Industry 4.0 technologies for performing various city logistics (CL) operations, establish smart sustainable CL solutions (SSCL) and rank them in order to identify those which will serve as the base points for future plans and strategies for the development of smart cities. This kind of problem requires involvement of multiple stakeholders with their opposing goals and interests, and thus multiple criteria. For solving it, this article proposed a novel hybrid multi-criteria decision-making (MCDM) model, based on BWM (Best-Worst Method) and CODAS (COmbinative Distance-based ASsessment) methods in grey environment. The results of the model application imply that the potentially best SSCL solution is based on the combination of the concepts of micro-consolidation centres and autonomous vehicles with the support of artificial intelligence and Internet of Things technologies. The main contributions of the article are the definition of original SSCLs, the creation of a framework and definition of criteria for their evaluation and the development of a novel hybrid MCDM model.

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“…F lar or trapozoidal fuzzy sets due to a lack of pertinent knowledge regarding the decision problems. Bolturk [6] and Pérez-Dominguez et al [28] presented Pythagorean fuzzy CODAS methods and handled supplier selection and public transport evaluation problems. The authors used membership, non-membership, and indeterminacy degrees while extending the CODAS technique.…”

Section: Codas Applicationsmentioning

confidence: 99%

A novel interval-valued spherical fuzzy CODAS: Reopening readiness evaluation of academic units in the era of COVID-19

Menekşe

Akdağ

2022

IFS

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Combinative distance-based assessment (CODAS) is a multi-criteria decision-making (MCDM) method that is based on the Euclidean and Hamming distances of alternatives from the average scores of attributes. Spherical fuzzy sets, as the recent extensions of ordinary fuzzy sets, were developed based on Pythagorean and neutrosophic sets and enable decision-makers to express their membership, non-membership, and hesitancy degrees independently and in a larger domain than most other fuzzy extensions. This paper proposes a new interval-valued spherical fuzzy CODAS method and provides extra space for catching the vagueness in the nature of the problem. The feasibility and practicality of the proposed model are illustrated with an application for evaluating the reopening readiness of academic units for campus education in the era of COVID-19. Three decision-makers from a higher education institution evaluate four academic units with respect to five strategic criteria and prioritize them according to their readiness levels for the campus type of education. Sensitivity and comparative analyses, theoretical and practical contributions, limitations, and future research avenues are also presented in the study.

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Assessment Urban Transport Service and Pythagorean Fuzzy Sets CODAS Method: A Case of Study of Ciudad Juárez

Cited by 22 publications

References 45 publications

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Evaluation of Smart City Logistics Solutions

A novel interval-valued spherical fuzzy CODAS: Reopening readiness evaluation of academic units in the era of COVID-19

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