Circular economy concepts in urban mobility alternatives using integrated DIBR method and fuzzy Dombi CoCoSo model

Pamučar, Dragan; Deveci, Muhammet; Gökaşar, Ilgın; Işık, Mehtap; Žižović, Mališa

doi:10.1016/j.jclepro.2021.129096

Cited by 77 publications

(20 citation statements)

References 43 publications

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“…This method takes the importance judgment of adjacent criteria as the core point, breaks through the limitations of the traditional expert judgment method applicable to the fixed importance scale, and ensures the consistency and accuracy of the weight results. However, when the number of criteria increases, the computational complexity of the model increases significantly, and there is great subjectivity in the importance ranking of all criteria [44]. LBWA firstly determines the most important criterion, layers other criteria according to their importance with the most important criterion, and sorts the importance of criteria within each level.…”

Section: The Framework and Applicability Of Proposed Hybrid Mcdm Modelmentioning

confidence: 99%

A Hybrid Novel Fuzzy MCDM Method for Comprehensive Performance Evaluation of Pumped Storage Power Station in China

2021

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Considering the goals of carbon peaking and carbon neutrality, along with their related policies, pumped storage power stations are set to develop quickly in China. The comprehensive performance of pumped storage power stations must urgently be evaluated, which can help investors in decision making and provide a reference for policymakers. In this paper, a hybrid novel fuzzy multicriteria decision-making (MCDM) method combining the fuzzy best worst method (BWM) and fuzzy TOPSIS was proposed for the comprehensive performance evaluation of pumped storage power stations in China. The fuzzy BWM was utilized to determine the criteria weights describing the comprehensive performance of pumped storage power stations, while the fuzzy TOPSIS was used to rank the comprehensive performance of pumped storage power stations. The index system for the comprehensive performance evaluation of pumped storage power stations in China incorporated economic, social, and environmental aspects. The comprehensive performance of four pumped storage power stations in China was empirically evaluated using the proposed hybrid novel fuzzy MCDM method, and the results indicate that pumped storage power station PSPS2 exhibited the best comprehensive performance, followed by pumped storage power stations PSPS1 and PSPS4, whereas pumped storage power station PSPS3 had the worst comprehensive performance. A sensitivity analysis and comparative analysis were also conducted. The results indicate that the proposed hybrid novel fuzzy MCDM method, combining the fuzzy BWM and fuzzy TOPSIS for comprehensive performance evaluation of pumped storage power stations, is robust and effective.

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Section: The Framework and Applicability Of Proposed Hybrid Mcdm Modelmentioning

confidence: 99%

A Hybrid Novel Fuzzy MCDM Method for Comprehensive Performance Evaluation of Pumped Storage Power Station in China

2021

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“…This hybrid approach is based on the DIBR method, which defines interrelationships between the ranked criteria, and the D'CoCoSo approach, which is modelled under fuzzy Dombi environment. This technique was applied to solve prioritizing aspects of the circular economy concepts for urban mobility [12]. The two-stage decisionmaking technique, which was realized by the data envelopment analysis (DEA) and the RCoCoSo method, which was modelled under rough full consistency (R-FUCOM) environment, was discussed in [30].…”

Section: Introductionmentioning

confidence: 99%

M-generalised q-neutrosophic extension of CoCoSo method

Turskis

Baušys

Smarandache

et al. 2022

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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Nowadays fuzzy approaches gain popularity to model multi-criteria decision making (MCDM) problems emerging in real-life applications. Modern modelling trends in this field include evaluation of the criteria information uncertainty and vagueness. Traditional neutrosophic sets are considered as the effective tool to express uncertainty of the information. However, in some cases, it cannot cover all recently proposed cases of the fuzzy sets. The m-generalized q-neutrosophic sets (mGqNNs) can effectively deal with this situation. The novel MCDM methodology CoCoSomGqNN is presented in this paper. An illustrative example presents the analysis of the effectiveness of different retrofit strategy selection decisions for the application in the civil engineering industry.

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“…As established by [ 8 ], sustainable mobility must be equitable, efficient, green and safe. Several authors [ 9 , 10 , 11 ] even consider that ensuring mobility in urban areas is essential to achieve at least 7 of the rest of the SDGs: health and well-being (SDG 3), affordable and clean energy (SDG 7), decent work and economic growth (SDG 8), industry, innovation and infrastructure (SDG 9), reduction of inequalities (SDG 10), sustainable cities and communities (SDG 11) and climate action (SDG 13).…”

Section: Introductionmentioning

confidence: 99%

The Contribution of MCDM to SUMP: The Case of Spanish Cities during 2006–2021

García-Ayllón

Hontoria

Nolberto³

2021

IJERPH

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Sustainable Urban Mobility Plans (SUMP) are increasingly popular planning tools in cities with environmental issues where numerous actions are usually proposed to reduce pollution from urban transport. However, the diagnosis and implementation of these processes requires broad consensus from all stakeholders and the ability to fit them into urban planning in such a way that it allows the proposals to become realistic actions. In this study, a review of the sustainable urban mobility plans of 47 cities in Spain during the last 15 years has been carried out, analyzing both the diagnosis and proposal of solutions and their subsequent implementation. From the results obtained, a new framework based on a structured hybrid methodology is proposed to aid decision-making for the evaluation of alternatives in the implementation of proposals in SUMP. This hybrid methodology considers experts’ and stakeholders’ opinion and applies two different multi-criteria decision making (MCDM) methods in different phases to present two rankings of best alternatives. From that experience, an analysis based on the MCDM methods called ‘Sequential Interactive Modelling for Urban Systems (SIMUS)’ and weighted sum method (WSM) was applied to a case study of the city of Cartagena, a southeastern middle-size city in Spain. This analytic proposal has been transferred to the practical field in the SUMP of Cartagena, the first instrument of this nature developed after COVID-19 in Spain for a relevant city. The results show how this framework, based on a hybrid methodology, allows the development of complex decision mapping processes using these instruments without obviating the need to generate planning tools that can be transferred from the theoretical framework of urban reality.

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Circular economy concepts in urban mobility alternatives using integrated DIBR method and fuzzy Dombi CoCoSo model

Cited by 77 publications

References 43 publications

A Hybrid Novel Fuzzy MCDM Method for Comprehensive Performance Evaluation of Pumped Storage Power Station in China

A Hybrid Novel Fuzzy MCDM Method for Comprehensive Performance Evaluation of Pumped Storage Power Station in China

M-generalised q-neutrosophic extension of CoCoSo method

The Contribution of MCDM to SUMP: The Case of Spanish Cities during 2006–2021

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