A Hybrid DEA–Fuzzy COPRAS Approach to the Evaluation of Renewable Energy: A Case of Wind Farms in Turkey

Yılmaz, İbrahim

doi:10.3390/su151411267

Cited by 10 publications

(4 citation statements)

References 45 publications

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“…Integrating GIS-based and MCDM techniques has become instrumental in spatial analyses, particularly in risk and suitability assessments for renewable energy projects like solar and wind. Numerous MCDM methods, including AHP [8,9,11,15,28,49,[57][58][59], fuzzy AHP [16,47,60], integrated AHP [36], analytical network process (ANP) [18], decision-making trial and evaluation laboratory (DEMATEL) [18], adaptive neuro-fuzzy inference system (ANFIS) [19], density-based clustering [29], best-worst method (BMW) [1], weighted linear combination (WLC) [1,5,8,47,49], data envelopment analysis (DEA) [61], fuzzy complex proportional assessment (COPRAS) [61], preference ranking organization method for enrichment evaluations (PROMETHEE II) [15], and spatial decision support system (SDSS) [4], have been applied in wind power resource assessments. Among these, AHP stands out as a robust and widely utilized technique due to its simplicity and effectiveness in solving complex decision problems within specific case studies.…”

Section: Discussionmentioning

confidence: 99%

A Comprehensive Resource Assessment for Wind Power Generation on the Rural Island of Sibuyan, Philippines

Gacu,

Garcia,

Fetalvero

et al. 2024

Energies

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Amid rising energy demands in rural areas, thorough resource assessments for initiatives such as wind power are crucial. This study involves a land resource assessment for wind power generation on the rustic Sibuyan Island in the Philippines, which is currently experiencing an electricity shortage. A comprehensive overview of the island’s suitability for wind energy projects is performed via evaluation and analysis using geospatial data and multi-criteria decision making (MCDM). The research results indicate that 50.44% (220.68 km2) of the island’s land area is categorized as ‘poorly suitable’ since it considers protected areas where developments are not allowed. Only 0.08% (0.35 km2) of the island can be classified as ‘marginally suitable’, while 9.15% (40.73 km2), 36.64% (176.39 km2), and 0.69% (3.05 km2) are labeled as ‘moderately suitable’, ‘suitable’, and ‘highly suitable’, respectively. This confirms the potential for wind energy exploration on the island. Delineating the suitability levels provides a foundational framework for stakeholders that enables them to identify optimal sites for wind power, sustain the island’s resources, and contribute to the renewable energy landscape of this rural location. Overall, this study, underpinned by data analysis, offers invaluable insights for decision making in wind power development, with the presented framework adaptable to other areas of interest.

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Section: Discussionmentioning

confidence: 99%

A Comprehensive Resource Assessment for Wind Power Generation on the Rural Island of Sibuyan, Philippines

Gacu,

Garcia,

Fetalvero

et al. 2024

Energies

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“…The complex proportional assessment (COPRAS) method, initially introduced in the 2004 paper titled "Housing credit access model: The case for Lithuania" [44], has since been widely applied in various research domains, as evidenced by studies [45][46][47][48][49][50]. Over time, the method has been enhanced by integrating theories adept at handling uncertainties and inaccuracies, such as Fuzzy [51][52][53][54], Rough [55][56][57][58], and Grey [59][60][61][62].…”

Section: Copras-g Methodsmentioning

confidence: 99%

Optimizing Military Decision-Making: Application of the FUCOM– EWAA–COPRAS-G MCDM Model

Tešić,

Božanić

2023

ATAMS

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In contemporary military contexts, the determination of an optimal course of action (COA) in combat operations emerges as a critical challenge. This study delineates a decision support methodology for military applications, employing sophisticated decision analysis techniques. The initial phase entails the identification of pivotal criteria for assessing and ranking COAs, followed by the assignment of weight coefficients to each criterion via the full consistency method (FUCOM). Subsequently, the Einstein weighted arithmetic average operator (EWAA) was utilized for the aggregation of expert opinions, ensuring a consensual evaluation of these criteria and culminating in the final values of their weight coefficients. The ensuing phase focuses on the selection of an optimal COA, incorporating the grey complex proportional assessment (COPRAS-G) method. This method addresses uncertainties and varying criterion values. Expert ratings were again aggregated using the EWAA operator. The findings from this phase are designed to provide military commanders with precise, data-driven guidance for decision-making. To validate and verify the stability of the proposed model, a series of tests were conducted, including a rank reversal test, sensitivity analysis regarding changes in weight coefficients, and a comparative analysis with alternative methods. These assessments uniformly indicated the model's consistency, stability, and validity as a military decision support tool. Emphasizing a high degree of confidence in COA selection, the methodology advocated herein is applicable to decision-making processes in the planning and execution of military operations. The uniform application of professional terms, consistent with the broader context of this research, ensures clarity and coherence in its presentation. The approach outlined in this study stands as a testament to rigorous analytical methodologies in the realm of military strategic planning, offering a robust framework for decision-making under conditions of uncertainty and complexity.

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“…For examples, Selamzade et al [13] employed the DEA approach in conjunction with MCDM methodologies to assess the efficiency of OECD countries. Yilmaz [14] utilized DEA and Fuzzy complex proportional assessment (Fuzzy COPRAS) to assess the effectiveness of 11 wind power stations situated in Turkey's Marmara Region., In this study, the DEA methodology is used to find the most proficient potential State-Owned Enterprises (SOEs) companies in the first stage. Then, the SF-AHP method is utilized to determine the priority weights of a given set of criteria, which is then followed by the application of the EDAS model to rank enterprises in the SOEs sector.…”

Section: Introductionmentioning

confidence: 99%

Corporate governance for sustainable development in Vietnam: Criteria for SOEs based on MCDM approach

Hoang,

Nguyen,

Tran

et al. 2024

PLoS ONE

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This research explores the nexus between corporate governance and sustainable development, focusing on State-Owned Enterprises (SOEs) in Vietnam. Recognizing the pivotal role of SOEs in the national economy, this study employs a Multi-Criteria Decision-Making approach (MCDM) to assess and enhance the corporate governance frameworks of these entities. First, the Data Envelopment Analysis (DEA) model is employed to identify the most qualified prospective SOEs firms based on several quantitative criteria. Then, the spherical fuzzy analytic hierarchy process (SF-AHP) model is used to identify priority weights for a given set of qualitative criteria, the Evaluation based on distance from average solution (EDAS) model is implemented to rank enterprises in the SOEs sector. To validate the proposed models, a case study conducted within the Vietnamese electric power industry is utilized. The MCDM methodology integrates diverse factors such as business management, corporate social responsibility, and corporate governance shareholder to construct a comprehensive evaluation framework. By applying this approach, the study aims to identify the key drivers and barriers influencing corporate governance practices within Vietnamese SOEs. The study’s findings illustrate the efficacy of the suggested approach in evaluating corporate governance performance, providing valuable insights for policymakers, corporate leaders, and stakeholders involved in shaping the governance landscape of SOEs in Vietnam. By aligning corporate governance with sustainable development principles, the research aims to contribute to the ongoing discourse on responsible business practices, offering practical recommendations to enhance the performance and resilience of SOEs in the pursuit of long-term socio-economic and environmental sustainability.

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A Hybrid DEA–Fuzzy COPRAS Approach to the Evaluation of Renewable Energy: A Case of Wind Farms in Turkey

Cited by 10 publications

References 45 publications

A Comprehensive Resource Assessment for Wind Power Generation on the Rural Island of Sibuyan, Philippines

A Comprehensive Resource Assessment for Wind Power Generation on the Rural Island of Sibuyan, Philippines

Optimizing Military Decision-Making: Application of the FUCOM– EWAA–COPRAS-G MCDM Model

Corporate governance for sustainable development in Vietnam: Criteria for SOEs based on MCDM approach

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