Site evaluation of subsea tunnels with sightseeing function based on dynamic complex MARCOS method

被引:11
|
作者
Zeng, Shouzhen [1 ]
Ye, Anqi [2 ]
Su, Weihua [2 ]
Chen, Manlei [2 ]
Llopis-Albert, Carlos [3 ]
机构
[1] Ningbo Univ, Sch Business, Ningbo 315211, Peoples R China
[2] Zhejiang Gongshang Univ, Coll Stat & Math, Hangzhou 310018, Peoples R China
[3] Univ Politecn Valencia, Inst Univ Ingn Mecan & Biomecan I2MB, Camino Vera S-n, Valencia 46022, Spain
关键词
Subsea tunnels with sightseeing function; Pythagorean hesitant fuzzy set; MARCOS; Multi -attribute decision making; Dynamic evaluation; CRITERIA DECISION-MAKING; MEAN OPERATORS; AGGREGATION OPERATORS; FUZZY; SELECTION; COST;
D O I
10.1016/j.techfore.2023.123041
中图分类号
F [经济];
学科分类号
02 ;
摘要
Subsea tunnels with sightseeing function (STSF) are valuable for integrating transportation across different locations, particularly in cross-sea regions. Given their technical complexity, significant capital commitment, and substantial social impact, site evaluation of STSF has become a critical priority. In this study, a dynamic complex measurement alternative and ranking according to the compromise solution (MARCOS) framework is proposed for STSF site evaluation in a Pythagorean hesitant fuzzy environment. A novel score function for a Pythagorean hesitant fuzzy set is defined to handle an incomparable problem. Moreover, a growth coefficient matrix is constructed to reflect the internal development potential of decision objects, considering changes in expert and criteria weights during the dynamic decision-making process. An STSF evaluation system is designed to satisfy stability, sociality, and economic developments. An empirical study is conducted in Zhejiang Province, China, to verify the robustness and effectiveness of the proposed evaluation framework by comparing its results with other methods.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Safety of complex surrounding rock of tunnels and related evaluation method
    Zhang D.
    Tai Q.
    Fang Q.
    Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 2017, 36 (02): : 270 - 296
  • [2] Dynamic stability evaluation of subsea wellhead based on fully coupled model
    Qiu, Na
    Liu, Xiuquan
    Liu, Zhaowei
    Li, Yanwei
    Chang, Yuanjiang
    Chen, Guoming
    Xu, Liangbin
    OCEAN ENGINEERING, 2022, 257
  • [3] A new method for subsea tunnel site selection based on environmental bearing capacity
    Chuanqi Qu
    Yiguo Xue
    Guangkun Li
    Maoxin Su
    Binghua Zhou
    Environmental Science and Pollution Research, 2023, 30 : 26559 - 26579
  • [4] A new method for subsea tunnel site selection based on environmental bearing capacity
    Qu, Chuanqi
    Xue, Yiguo
    Li, Guangkun
    Su, Maoxin
    Zhou, Binghua
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (10) : 26559 - 26579
  • [5] COMPREHENSIVE EVALUATION OF PLANT SIGHTSEEING IN RURAL SETTLEMENTS IN HUBEI BASED ON AHP AND FUZZY COMPREHENSIVE EVALUATION METHOD
    Ren, Lina
    Li, Chen
    FRESENIUS ENVIRONMENTAL BULLETIN, 2022, 31 (08): : 7760 - 7766
  • [6] Dynamic Bayesian networks for reliability evaluation of subsea wellhead connector during service life based on Monte Carlo method
    Wang, Yingying
    Liu, Shujie
    Chen, Zhihuang
    Wang, Mingchun
    Yang, Jin
    Chen, Xing
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2021, 71
  • [7] Dynamic stability evaluation of underground tunnels based on deformation reinforcement theory
    Liu, Yaoru
    Wu, Zheshu
    Yang, Qiang
    Leng, Kuangdai
    ADVANCES IN ENGINEERING SOFTWARE, 2018, 124 : 97 - 108
  • [8] A novel score function based CRITIC-MARCOS method with spherical fuzzy information
    Jawad Ali
    Computational and Applied Mathematics, 2021, 40
  • [9] A novel score function based CRITIC-MARCOS method with spherical fuzzy information
    Ali, Jawad
    COMPUTATIONAL & APPLIED MATHEMATICS, 2021, 40 (08):
  • [10] Reliability evaluation method of supporting structure of subsea tunnel based on fuzzy probability
    Jiang B.
    Lu J.
    Yu Y.
    Journal of Computational and Theoretical Nanoscience, 2016, 13 (02) : 1442 - 1449