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

被引:9
|
作者
Li, Zengxian [1 ]
Liu, Aijun [1 ]
Shang, Wen-Long [2 ,3 ,4 ]
Li, Jiaxin [1 ]
Lu, Hui [5 ]
Zhang, Haoran [6 ]
机构
[1] Xidian Univ, Sch Econ & Management, Xian 710071, Peoples R China
[2] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100008, Peoples R China
[3] Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100008, Peoples R China
[4] Imperial Coll London, Ctr Transport Studies, London SW7 2AZ, England
[5] Shanghai Normal Univ, Tianhua Coll, Shanghai 201815, Peoples R China
[6] Peking Univ, Sch Urban Planning & Design, Beijing 100091, Peoples R China
基金
北京市自然科学基金;
关键词
Transportation; Sustainable development; Fuzzy sets; Decision making; Correlation; Carbon dioxide; Uncertainty; Spherical fuzzy sets; partitioned Maclaurin symmetric mean operator; statistical variance; evidence-based Bayes approximation; transport sustainability assessment; MEAN AGGREGATION OPERATORS; ENVIRONMENT;
D O I
10.1109/TITS.2023.3275141
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:15959 / 15973
页数:15
相关论文
共 50 条
  • [1] Fuzzy Group Decision-Making in the Measurement of Ecotourism Sustainability Potential
    Ling-Zhong Lin
    Chi-Fang Lu
    Group Decision and Negotiation, 2013, 22 : 1051 - 1079
  • [2] Fuzzy Group Decision-Making in the Measurement of Ecotourism Sustainability Potential
    Lin, Ling-Zhong
    Lu, Chi-Fang
    GROUP DECISION AND NEGOTIATION, 2013, 22 (06) : 1051 - 1079
  • [3] Assessment of Influence Factors of Infrastructure Sustainability Based on Group Decision-making Model
    Meng J.
    Pei Y.
    Quan L.
    Xu Y.
    Pei, Yongjie (peiyongjie@tju.edu.cn), 2018, Science Press (46): : 996 - 1002
  • [4] Prioritization of strategies for a sustainable regional transportation infrastructure by hybrid spherical fuzzy group decision-making approach
    Mouhamed Bayane Bouraima
    Yanjun Qiu
    Ertugrul Ayyildiz
    Aslihan Yildiz
    Neural Computing and Applications, 2023, 35 : 17967 - 17986
  • [5] Prioritization of strategies for a sustainable regional transportation infrastructure by hybrid spherical fuzzy group decision-making approach
    Bouraima, Mouhamed Bayane
    Qiu, Yanjun
    Ayyildiz, Ertugrul
    Yildiz, Aslihan
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (24): : 17967 - 17986
  • [6] AN INNOVATIVE APPROACH TO GROUP DECISION-MAKING
    ADIZES, I
    TURBAN, E
    PERSONNEL, 1985, 62 (04) : 45 - 49
  • [7] A FUZZY GROUP DECISION-MAKING MODEL FOR MEASUREMENT OF COMPANIES' PERFORMANCE
    Pavlackova, Martina
    Pavlacka, Ondrej
    Horcickova, Tereza
    ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2023, 57 (02): : 119 - 134
  • [8] Optimizing Multimodal Transportation: A Novel Decision-Making Approach With Fuzzy Risk Assessment
    Muthunandhini, R.
    Palanivel, K.
    IEEE ACCESS, 2025, 13 : 14584 - 14610
  • [9] A Fuzzy Group Decision Making Model for Ordinal Peer Assessment
    Capuano, Nicola
    Loia, Vincenzo
    Orciuoli, Francesco
    IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 2017, 10 (02): : 247 - 259
  • [10] SUSTAINABILITY DECISION-MAKING BY USING TECHNOLOGY ASSESSMENT
    Tulbure, Ildiko
    ECOLOGY, ECONOMICS, EDUCATION AND LEGISLATION CONFERENCE PROCEEDINGS, SGEM 2016, VOL III, 2016, : 577 - 584