An Exploratory DEA and Machine Learning Framework for the Evaluation and Analysis of Sustainability Composite Indicators in the EU

被引:5
|
作者
Tsaples, Georgios [1 ]
Papathanasiou, Jason [1 ]
Georgiou, Andreas C. [2 ]
机构
[1] Univ Macedonia, Dept Business Adm, Egnatia Str 156, Thessaloniki 54636, Greece
[2] Univ Macedonia, Dept Business Adm, Quantitat Methods & Decis Anal Lab, Egnatia Str 156, Thessaloniki 54636, Greece
关键词
data envelopment analysis; two-stage DEA; exploratory modeling and analysis; sustainability; increased discriminatory power; machine learning; DATA ENVELOPMENT ANALYSIS; EFFICIENCY DECOMPOSITION; INSURANCE COMPANIES; ECO-EFFICIENCY; COMMON WEIGHTS; MODELS; DECISION; PERFORMANCE; RANKING; DISCRIMINATION;
D O I
10.3390/math10132277
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
One method that has been proposed for the measurement of sustainability is Data Envelopment Analysis (DEA). Despite its advantages, the method has limitations: First, the efficiency of Decision-Making Units is calculated with weights that are favorable to themselves, which might be unrealistic, and second, it cannot account for different perceptions of sustainability; since there is not an established and unified definition, each analyst can use different data and variations that produce different results. The purpose of the current paper is twofold: (a) to propose an alternative, multi-dimensional DEA model that handles weight flexibility using a different metric (an alternative optimization criterion) and (b) the inclusion of a computational stage that attempts to incorporate different perceptions in the measurement of sustainability and integrates machine learning to explore country sustainability composite indices under different perceptions and assumptions. This approach offers insights in areas such as feature selection and increases the trust in the results by exploiting an inclusive approach to the calculations. The method is used to calculate the sustainability of the 28 EU countries.
引用
收藏
页数:27
相关论文
共 50 条
  • [41] Exploratory analysis framework research for weapon system of systems evaluation
    Zhou, Shao-Ping
    Li, Qun
    Wang, Wei-Ping
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2007, 19 (09): : 2066 - 2069
  • [42] Learning for sustainability in higher education institutions: a theoretical evaluation of a construction framework
    de Campos Junges, Vanessa
    Alves Pacheco de Campos, Simone
    Gallon Canfielda, Shalimar
    Goi Becker, Rubia
    INTERNATIONAL JOURNAL OF SUSTAINABILITY IN HIGHER EDUCATION, 2024,
  • [43] Evaluation of Indicators of Public Administration in EU Countries by Use of Multidimensional Analysis
    Halaskova, Martina
    Halaskova, Renata
    SCIENTIFIC PAPERS OF THE UNIVERSITY OF PARDUBICE-SERIES D-FACULTY OF ECONOMICS AND ADMINISTRATION, 2020, 28 (04):
  • [44] Exploratory analysis of machine learning techniques in the Nevada geothermal play fairway analysis
    Smith, Connor M.
    Faulds, James E.
    Brown, Stephen
    Coolbaugh, Mark
    DeAngelo, Jacob
    Glen, Jonathan M.
    Burns, Erick R.
    Siler, Drew L.
    Treitel, Sven
    Mlawsky, Eli
    Fehler, Michael
    Gu, Chen
    Ayling, Bridget F.
    GEOTHERMICS, 2023, 111
  • [45] Sustainability of Farms in EU Countries in the Context of Income Indicators: Regression Analysis Based on a New Classification
    Andrejovska, Alena
    Glova, Jozef
    AGRICULTURE-BASEL, 2022, 12 (11):
  • [46] A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation
    Li, Hang
    Kang, Yu
    Hao, Yang
    Ding, Wenbiao
    Wu, Zhongqin
    Liu, Zitao
    ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT II, 2021, 12749 : 251 - 255
  • [47] Toward Design and Evaluation Framework for Interpretable Machine Learning Systems
    Mohseni, Sina
    AIES '19: PROCEEDINGS OF THE 2019 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY, 2019, : 553 - 554
  • [48] A flexible machine learning based framework for state of charge evaluation
    Stighezza, Mattia
    Bianchi, Valentina
    Toscani, Andrea
    De Munari, Ilaria
    2022 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AUTOMOTIVE (IEEE METROAUTOMOTIVE 2022), 2022, : 111 - 115
  • [49] An evaluation framework based on sustainability-related indicators for the comparison of conceptual approaches for ecological networks
    Theau, Jerome
    Bernier, Amelie
    Fournier, Richard A.
    ECOLOGICAL INDICATORS, 2015, 52 : 444 - 457
  • [50] A New Machine Learning Framework for Effective Evaluation of English Education
    Zhang, Lei
    INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 2021, 16 (12) : 142 - 154