Comprehensive evaluation of sustainable ammonia production systems based on fuzzy multiattribute decision making under hybrid information

被引:10
|
作者
Xu, Di [1 ]
Dong, Lichun [2 ]
机构
[1] Chongqing Univ Sci & Technol, Sch Chem & Chem Engn, Chongqing 401331, Peoples R China
[2] Chongqing Univ, Sch Chem & Chem Engn, Chongqing, Peoples R China
基金
中国国家自然科学基金;
关键词
ammonia production system; combined weights; fuzzy best-worst method; fuzzy gray relational projection; hybrid information; sustainability assessment; HYDROGEN-PRODUCTION TECHNOLOGIES; LIFE-CYCLE ASSESSMENT; PRODUCTION OPTIONS; SUPPORT FRAMEWORK; RENEWABLE POWER; CRITERIA; SELECTION; OPTIMIZATION; RANKING; ECONOMY;
D O I
10.1002/ese3.630
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The comprehensive evaluation of ammonia production systems is of great significance for improving the sustainability of energy management and food supply. Therefore, an important contribution could be provided by developing a generic decision-making framework for prioritizing multiple ammonia production systems and identifying the best one. In this view, this paper aims to propose an integrated fuzzy MADM (multiattribute decision making) framework combining fuzzy BWM (best-worst method), fuzzy CRITIC (Criteria Importance Through Intercriteria Correlation), and fuzzy GRP (gray relational projection) approaches for the sustainability assessment of ammonia production systems under hybrid information. Comparing with the previous MADM-based frameworks for sustainability assessment, this framework adopts the TFN (triangular fuzzy number) to deal with the hybrid information (ie, crisp numbers, interval values, and fuzzy numbers) that arise from real-world decision-making issues. Accordingly, the weights of criteria can be comprehensively determined by integrating the fuzzy BWM and fuzzy CRITIC, which balance experts' subjective preferences and system's objective properties under uncertainties in the determination of the weights, while the sequence of alternatives can be reliably prioritized by extending the GRP into fuzzy conditions, which escalates the ranking capability under hybrid information via considering the relationships and relative balance among the alternatives' performances regarding the multicriteria. Seven alternative systems were studied by the proposed framework, indicating that ammonia generated from hydropower-electrolysis and coal gasification would be more preferable than the others, by considering 12 criteria from the concerns of technological, environmental, economic, and social-political. Additionally, sensitivity analysis and result comparison were conducted to verify the rationality and feasibility of the framework. This work makes a methodological contribution to the MADM-based sustainability research and serves as a reference for developing the ammonia economy in the future.
引用
收藏
页码:1902 / 1923
页数:22
相关论文
共 50 条
  • [1] Hybrid multiattribute decision making based on fuzzy preference relation
    Chen, Xiao-Wei
    Wang, Wen-Shuang
    Song, Gui-Bao
    Song, Dian-Yu
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2012, 34 (03): : 529 - 533
  • [2] An approach to fuzzy multiattribute decision making under uncertainty
    Li, DF
    INFORMATION SCIENCES, 2005, 169 (1-2) : 97 - 112
  • [3] Fuzzy LINMAP method for multiattribute decision making under fuzzy environments
    Xia, Hui-Cheng
    Li, Deng-Feng
    Zhou, Ji-Yan
    Wang, Jian-Ming
    JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 2006, 72 (04) : 741 - 759
  • [4] Hydrogen Production Technologies Evaluation Based on Interval-Valued Intuitionistic Fuzzy Multiattribute Decision Making Method
    Yu, Dejian
    JOURNAL OF APPLIED MATHEMATICS, 2014,
  • [5] Simulation-based evaluation of defuzzification-based approaches to fuzzy multiattribute decision making
    Deng, Hepu
    Yeh, Chung-Hsing
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2006, 36 (05): : 968 - 977
  • [6] Evaluation of Multimodal Transport in China Based on Hesitation Fuzzy Multiattribute Decision-Making
    Han, Bing
    Wan, Min
    Zhou, Yu
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [7] TOPSIS Hybrid Multiattribute Group Decision-Making Based on Interval Pythagorean Fuzzy Numbers
    Jun, H. U.
    Junmin, W. U.
    Jie, W. U.
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [8] Extensions of the TOPSIS for multiattribute decision making under intuitionistic fuzzy environment
    Nan, Jiangxia
    Zhang, Maojun
    Zhang, M. (zhang1977108@sina.com), 1635, Binary Information Press (11): : 1635 - 1645
  • [9] A Heterogeneous Multiattribute Group Decision-Making Method Based on Intuitionistic Triangular Fuzzy Information
    Xu, Jun
    Dong, Jiu-Ying
    Wan, Shu-Ping
    Yang, De-Yan
    Zeng, Yi-Feng
    COMPLEXITY, 2019, 2019
  • [10] Development and evaluation of five fuzzy multiattribute decision-making methods
    Department of Industrial Engineering, Louisiana State University, Baton Rouge, LA, United States
    不详
    Int J Approximate Reasoning, 4 (281-310):