A novel two-stage fuzzy classification method with different weight permutations for optimal GIS-based placement of wellness and sports centers

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127282 - 127282

Published: March 1, 2025

Language: Английский

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Wind power plant site selection problem solution using GIS and resource assessment and analysis of wind energy potential by estimating Weibull distribution function for sustainable energy production: The case of Bitlis/Turkey

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 56, P. 101552 - 101552

Published: Oct. 15, 2024

Language: Английский

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The Use of Comparative Multi-Criteria Analysis Methods to Evaluate Criteria Weighting in Assessments of Onshore Wind Farm Projects

Energies, Journal Year: 2025, Volume and Issue: 18(4), P. 771 - 771

Published: Feb. 7, 2025

This research provides a comparative analysis of different methods weighting criteria used in the investigation site suitability existing onshore wind farm projects. The ranking this was performed by integrating various multi-criteria decision-making (MCDM) techniques. assessments such projects considered several criteria, including velocity, distance from high-electricity grids, slope, road networks, installed capacity, protected areas, years operation, and settlements. Both subjective objective were to compute weights compare results, which is main contribution paper. especially significant, as siting literature mainly focused on methods, therefore are provided judgments. In study, 374 Greece served alternatives, Technique for Order Preference Similarity Ideal Solution (TOPSIS) method employed rank their suitability. results show very high positive correlations rankings both evaluation alternatives when used. Using may provide robust solution expert judgement missing, CRITIC seems present correlation with MCDM regarding alternatives. Various could be assess challenges related renewable energy projects, they can aid selection most sustainable sites while minimizing downsides maximizing benefits each method.

Language: Английский

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Evaluating Commuters' Travel Mode Choice Using the Z-Number Extension of Parsimonious Best Worst Method

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112918 - 112918

Published: Feb. 1, 2025

Language: Английский

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A Geographic Information System-Based Integrated Multi-Criteria Decision-Support System for the Selection of Wind Farm Sites: The Case of Djibouti

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2555 - 2555

Published: March 14, 2025

Wind energy is a promising alternative source to cover large amounts of electricity demand in African countries. Djibouti’s proximity the Red Sea and its arid semi-arid climate generate consistent robust winds, contributing potential for wind energy. Notwithstanding considerable potential, Djibouti has not been adequately examined earlier studies determine suitable sites farms. The objective this study develop model by integrating CRiteria Importance Through Intercriteria Correlation Combined Compromise Solution methods into Geographic Information System-based decision-support system establish comprehensive framework selection farm Djibouti. Following an in-depth review literature, seven main criteria were identified assess suitability construction: velocity, changes direction, ground slope, distance urban areas, road network, transmission networks, land use. method objectively determines relative importance criteria, identifying speed power networks as most important, slope use less important than other criteria. employed prioritize farms, considering specified To enhance reliability results derived from method, validation was conducted utilizing Multi-Attribute Ideal–Real Comparative Analysis method. comparative analysis revealed correlation between two methods, providing convincing evidence accuracy proposed farms This expected assist professionals researchers dealing with site problem on unprecedented scale exact coordinates through that concurrently integrates recent multi-criteria decision-making System tools.

Language: Английский

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Wind farm sites selection using a machine learning approach and geographical information systems in Türkiye

Deleted Journal, Journal Year: 2025, Volume and Issue: 28(1)

Published: March 27, 2025

Language: Английский

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Improving Urban Animal Welfare Through Evidence-Based Shelter Site Selection in Turkey

Journal of Applied Animal Welfare Science, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: April 13, 2025

The management of stray animals and the selection shelter sites are significant issues in urban areas. To address this, consideration environmental, social, economic factors is required. Since those can be analyzed holistically with GIS; this study employs GIS methodologies to ascertain optimal locations for establishing animal shelters Karşıyaka district İzmir. Criteria related such as human health welfare determined based on environmental sustainability. Each criterion converted into a suitability map using ArcGIS Pro. Fuzzy SWARA GRA methods used criteria weighting area ranking. As result, "Yamanlar" option was most suitable area. Thus, GIS-based integrated fuzzy-based have shown objective, reliable less uncertain results selection. Findings provide guidance local governments policy makers determining prioritizing considered methodological approach proposed applied different regions similar problems, it contribute development efficient humane policies improve welfare.

Language: Английский

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Bibliometric Analysis of Multi-Criteria Decision-Making (MCDM) Methods in Environmental and Energy Engineering Using CiteSpace Software: Identification of Key Research Trends and Patterns of International Cooperation

Energies, Journal Year: 2024, Volume and Issue: 17(16), P. 3941 - 3941

Published: Aug. 9, 2024

In the context of sustainable development and global challenges such as climate change energy security, this paper conducts a bibliometric analysis scientific journals on multi-criteria decision-making (MCDM) methods with an emphasis their applications in environmental engineering. The study used CiteSpace software program 6.2.R6 Advanced to analyze citation networks identify key publications, authors, research topics. simulations carried out made it possible main centers patterns international cooperation, pointing countries institutions involved MCDM research. results reveal areas greatest interest directions for future These can support scientists, researchers, policymakers making more informed decisions, contributing achievement Sustainable Development Goals.

Language: Английский

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Optimization model for enterprise financial management utilizing genetic algorithms and fuzzy logic

PeerJ Computer Science, Journal Year: 2025, Volume and Issue: 11, P. e2812 - e2812

Published: April 7, 2025

This study explores the complexities of enterprise financial management by optimizing models with a particular focus on enhancing risk prediction performance. A multi-objective mathematical model is first developed to establish key optimization goals, including cost reduction, improved capital utilization, and increased economic benefits. systematically defines decision variables objectives, providing comprehensive framework for management. To improve predictive accuracy, integrates genetic algorithms back-propagation (BP) neural networks, leveraging optimize network’s parameters structure. Additionally, hierarchical reinforcement learning based fuzzy reasoning (HRL-FR) proposed enhance decision-making capabilities. employs policy optimization, incorporating address uncertainties in complex dynamic environments. Experimental validation using Compustat dataset confirms effectiveness model. Key variables, working asset ratio debt-to-equity ratio, are identified as significant influencers reinforcing model’s robustness. The algorithm’s search process identifies parameter combinations that maximize network performance, further improving Comprehensive evaluations conducted Center Research Security Prices (CRSP) datasets 2022 confirm HRL-FR superior ability predict analyze information accurately. demonstrates higher profitability, enhanced efficiency, curves closely align optimal models. These findings highlight potential powerful tool offering valuable insights mitigation strategic decision-making.

Language: Английский

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A Spatial Decision-Support System for Wind Farm Site Selection in Djibouti

Sustainability, Journal Year: 2024, Volume and Issue: 16(22), P. 9635 - 9635

Published: Nov. 5, 2024

The escalating energy demand in Djibouti requires the investigation of renewable sources, with wind emerging as a promising solution. To ensure long-term efficiency and sustainability projects, it is imperative to determine suitable sites for farm construction. When selecting site farm, there are multiple criteria consider, such velocity, ground slope, distance urban areas. Nevertheless, current body literature reveals that no previous research has been conducted explore an approach which involves farms Djibouti, opposed solely considering potential. This study proposes spatial decision-support system address gap selection sites. Seven simultaneously evaluated this system, including changes direction, areas, road network, transmission networks, land use. CRITIC (Criteria Importance Through Intercriteria Correlation) method used objectively calculate weights criteria. According results performing method, velocity networks were determined be most important criteria, while slope use least comparison others. A final suitability map showing possible locations was generated by said their respective weights. development located northeastern area between Obock Khor-Angor, southeastern encompassing Lakes Ghoubet Bara, southwestern stretching from Lake Abbe Hanlé region. Using proposed decision makers would empowered make strategic well-informed decisions when Djibouti.

Language: Английский

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