Sustainable industrialization performance evaluation of European Union countries: an integrated spherical fuzzy analytic hierarchy process and grey relational analysis approach

Candan, Gökçe; Toklu, Merve Cengiz

doi:10.1080/13504509.2022.2027293

Cited by 16 publications

(13 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among the recent studies in which GRA has been used, we can indicate evaluation of healthcare service quality factor (Aydemir & Şahin, 2019), measurement of city sustainability (Yi et al, 2021), investigation of life cycle assessment barriers for sustainable development (Kaswan & Rathi, 2021), evaluation of water quality (Tao et al, 2022), and sustainable industrialization performance evaluation of European Union countries (Candan & Cengiz Toklu, 2022). The GRA process steps can be summarized as follows (Wu, 2002;Tzeng & Huang, 2011):…”

Section: Grey Relational Analysismentioning

confidence: 99%

The Effects of Sustainable Governance to Sustainable Development

Gündoğdu¹,

Ayteki̇n²

2022

Oper. Res. Eng. Sci. Theor. Appl.

View full text Add to dashboard Cite

Sustainable development advocates effective and efficient planning of both present and future use of resources. Governance, on the other hand, is based on the joint and coordinated management of multidimensional variables, which is the basis of the sustainability approach. This study aims to determine how much sustainable governance influences the fulfillment of multidimensional sustainable development. Multiple regression analysis was used to determine the variables that reveal the impact of governance on development in terms of sustainability while the gray relational analysis method was used to rank the countries. The results reveal that increases in the number of people using the internet in society, as well as in the levels of developments in e-government and human development, environmental performance, and political reform, all assist countries achieve their SDGs. Furthermore, it was found that governance has a positive and significant impact on SDGs. In addition, an MCDM model consisting of BWM and gray relational analysis was used to evaluate countries based on their performance in sustainable development, the economic, governance and environment. The gray relational analysis results, on the other hand, revealed that developed and wealthy countries ranked first, while underdeveloped countries experiencing instability, such as war and conflict, ranked last. The Nordic countries outperform other countries in terms of governance and sustainability, depending on the strength of their democracy and executive capacity.

show abstract

Section: Grey Relational Analysismentioning

confidence: 99%

The Effects of Sustainable Governance to Sustainable Development

Gündoğdu¹,

Ayteki̇n²

2022

Oper. Res. Eng. Sci. Theor. Appl.

View full text Add to dashboard Cite

show abstract

“…Quantitative data can be obtained directly, while qualitative data are scored by experts to quantify qualitative data. Experts' scoring of quantitative data is based on the actual performance of related companies and the risk classification standards of company A. e expert scores are [0-10], "extremely poor" is [0-2), "poor" is [2][3][4], "moderate" is [4][5][6], and "good" is [6][7][8], "excellent" is [8][9][10]. According to the original data of company A and expert scores, the risk assessment samples are shown in Table 2.…”

Section: Simulation Realization Of Enterprise Comprehensivementioning

confidence: 99%

“…e huge e ect of this realistic multiwin model on the participants has made many companies ock to carry out this business. However, when thirdparty logistics companies carry out comprehensive performance evaluation business, the weak concept of risk management and the low level of risk evaluation also restrict comprehensive performance evaluation [3][4][5]. R&D's role in enterprise activities has become increasingly obvious.…”

Section: Introductionmentioning

confidence: 99%

BP Neural Network-Based Evaluation Method for Enterprise Comprehensive Performance

Wenjing

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Comprehensive performance evaluation is an important basis for improving the training effect of enterprise employees and the effective allocation of enterprise resources. Based on AHP and BP neural network theory, this paper constructs a comprehensive performance evaluation method for enterprises, AHP is used to calculate the weight of the index, and then the importance index is screened. The model proposes a conceptual model of comprehensive performance of manufacturing enterprises from the support layer, core layer, and promotion layer and constructs a manufacturing system from horizontal and vertical. The influencing factors of comprehensive performance solve the quantification problem of enterprise comprehensive performance evaluation and have obvious guiding value for the research on the integration mode and path of industrialization and industrialization of regional manufacturing enterprises. In the simulation process, the weight of each index in the evaluation system is first determined by the analytic hierarchy process; then the evaluation index membership score table is established, and fuzzy mathematics is used to calculate the expert’s score, so as to solve the problem caused by the intermediate value. The uncertainty caused by the jump is finally established by the analytic hierarchy process, and the neural network is used to simulate the sample. The experimental results show that by using AHP to collect training samples for neural network evaluation, the comprehensive performance evaluation system has good fitness and achieves the best comprehensive consideration of accuracy and training time when there are 17 hidden layer neurons. The maximum relative error is 1.64%, which is much lower than the general accuracy requirement of 5%, which effectively improves the performance and calculation accuracy of the network.

show abstract

“…Nguyen et al (2022) established a decision-making framework based on SFSs for the issues of wind turbine supplier selection. Candan and Cengiz Toklu (2022) employed an integrated SF-AHP to measure the sustainable industrialization performance of European Union member countries. By combing the existing literature, it is found that SFSs are enormously advantageous in dealing with uncertain problems, but there is little research on SFSs in the OWF site selection.…”

Section: Literature Review 21 Fuzzy Set Theorymentioning

confidence: 99%

A study on offshore wind farm site selection based on CRITIC and CPT-TOPSIS: a case study of China

Zhao

Ge²,

Wang³

2022

View full text Add to dashboard Cite

PurposeThis study aims to improve the offshore wind farm (OWF) site selection evaluation index system and establishes a decision-making model for OWF site selection. It is expected to provide helpful references for the progress of offshore wind power.Design/methodology/approachFirstly, this paper establishes an evaluation criteria system for OWF site selection, considering six criteria (wind resource, environment, economic, technical, social and risk) and related subcriteria. Then, the Criteria Importance Though Intercrieria Correlation (CRITIC) method is introduced to figure out the weights of evaluation indexes. In addition, the cumulative prospect theory and technique for order preference by similarity to an ideal solution (CPT-TOPSIS) method are employed to construct the OWF site selection decision-making model. Finally, taking the OWF site selection in China as an example, the effectiveness and robustness of the framework are verified by sensitivity analysis and comparative analysis.FindingsThis study establishes the OWF site selection evaluation system and constructs a decision-making model under the spherical fuzzy environment. A case of China is employed to verify the effectiveness and feasibility of the model.Originality/valueIn this paper, a new decision-making model is proposed for the first time, considering the ambiguity and uncertainty of information and the risk attitudes of decision-makers (DMs) in the decision-making process.

show abstract

Sustainable industrialization performance evaluation of European Union countries: an integrated spherical fuzzy analytic hierarchy process and grey relational analysis approach

Cited by 16 publications

References 52 publications

The Effects of Sustainable Governance to Sustainable Development

The Effects of Sustainable Governance to Sustainable Development

BP Neural Network-Based Evaluation Method for Enterprise Comprehensive Performance

A study on offshore wind farm site selection based on CRITIC and CPT-TOPSIS: a case study of China

Contact Info

Product

Resources

About