In this paper, an innovative fuzzy group decision-making model is designed for assessing regional transportation sustainability, focusing on the correlation between various attributes of the evaluation system. The focus of this model is the partitioned Maclaurin symmetric mean operator because of its better applicability when considering attribute correlation and attribute grouping. The modified spherical fuzzy partitioned Maclaurin symmetric mean operator is proposed, which has superior application scope. Its weighted form and special cases are discussed. Then, the extended statistical variance method and the evidence-based Bayes approximation method are used to obtain weight vectors of attributes and experts. In addition, a fuzzy assessment model of sustainable transportation is developed. Finally, a numerical example of regional transportation sustainability assessment and a comparison with previous studies are presented to illustrate the feasibility and universality of this method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Sustainability Assessment of Regional Transportation: An Innovative Fuzzy Group Decision-Making Model


    Contributors:
    Li, Zengxian (author) / Liu, Aijun (author) / Shang, Wen-Long (author) / Li, Jiaxin (author) / Lu, Hui (author) / Zhang, Haoran (author)

    Published in:

    Publication date :

    2023-12-01


    Size :

    3348707 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Multicriterion Sustainability Assessment in Transportation

    Mitropoulos, L. K. / Prevedouros, P. D. | Transportation Research Record | 2014




    Special issue on “Urban transportation sustainability: Experiences and innovative approaches”

    Lozano, Angélica / Cantillo, Víctor / Holguín-Veras, José | Elsevier | 2020