Analyzing Green Construction Development Barriers by a Hybrid Decision-Making Method Based on DEMATEL and the ANP

Buildings, Год журнала: 2022, Номер 12(10), С. 1641 - 1641

Опубликована: Окт. 10, 2022

There is a great deal of interest in analyzing construction development barriers to identify and rank them based on sustainability criteria have less environmental pollution. Due the importance projects developing countries such as Iran, this study implements green paradigm for case Tehran, Iran. The main novelty paper new decision-making method using DEMATEL Delphi techniques ANP. In regard, first all, data collection performed through literature review survey studies questionnaires, interviews, observations. applied experts’ agreement was integrated brainstorming classical method. By different economic, environmental, cultural, social hybrid framework, results show that economic barrier with weight 0.2607 ranked first, while feature assessment connected risk investment. cultural barriers, 0.2258, second, managerial barrier, 0.2052, third. aspects, were related looking at luxurious uncertainty performance due climate texture local area, respectively. According findings results, proposed sub-barriers can be used develop create planning strategic level our With concentration outcomes present research, sustainable building framework implemented by application prioritized knowledge management concept.

Язык: Английский

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A smart sustainable system for flood damage management with the application of artificial intelligence and multi-criteria decision-making computations

International Journal of Disaster Risk Reduction, Год журнала: 2022, Номер 84, С. 103470 - 103470

Опубликована: Дек. 5, 2022

Язык: Английский

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Sustainable and resilient e-commerce under COVID-19 pandemic: a hybrid grey decision-making approach

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(16), С. 47328 - 47348

Опубликована: Фев. 4, 2023

Язык: Английский

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Assessment of sustainable waste management alternatives using the extensions of the base criterion method and combined compromise solution based on the fuzzy Z-numbers

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(22), С. 62121 - 62136

Опубликована: Март 20, 2023

Язык: Английский

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A decision support system for osteoporosis risk prediction using machine learning and explainable artificial intelligence

Heliyon, Год журнала: 2023, Номер 9(12), С. e22456 - e22456

Опубликована: Дек. 1, 2023

Osteoporosis is a metabolic bone condition that occurs when mineral density and mass decrease. This makes the bones weak brittle. The disorder often undiagnosed untreated due to its asymptomatic nature until manifestation of fracture. Machine Learning (ML) extensively used in diverse healthcare domains analyze precise outcomes, provide timely risk scores, allocate resources. Hence, we have designed multiple heterogeneous machine-learning frameworks predict Osteoporosis. An open-source dataset 1493 patients containing density, blood, physical tests utilized. Thirteen distinct feature selection techniques were leveraged extract most salient parameters. best-performing pipeline consisted Forward Feature Selection algorithm followed by custom multi-level ensemble learning-based stack, which achieved an accuracy 89 %. Deploying layer explainable artificial intelligence using tools such as SHAP (SHapley Additive Values), LIME (Local Interpretable Model Explainer), ELI5, Qlattice, importance provided interpretability rationale behind classifier prediction. With this study, aim holistic prediction concurrently present system for automated screening assist physicians making diagnostic decisions.

Язык: Английский

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Environmental fragility and risks to water sustainability in the extreme south of Bahia, Brazil: implications for the provision of basic sanitation services

Sustainable Water Resources Management, Год журнала: 2024, Номер 10(2)

Опубликована: Фев. 27, 2024

Язык: Английский

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Enhancing community resilience in arid regions: A smart framework for flash flood risk assessment

Ecological Indicators, Год журнала: 2023, Номер 153, С. 110457 - 110457

Опубликована: Июнь 15, 2023

This paper presents a novel framework for smart integrated risk management in arid regions. The combines flash flood modelling, statistical methods, artificial intelligence (AI), geographic evaluations, analysis, and decision-making modules to enhance community resilience. Flash is simulated by using Watershed Modelling System (WMS). Statistical methods are also used trim outlier data from physical systems climatic data. Furthermore, three AI including Support Vector Machine (SVM), Artificial Neural Network (ANN), Nearest Neighbours Classification (NNC), predict classify occurrences. Geographic Information (GIS) utilised assess potential risks vulnerable regions, together with Failure Mode Effects Analysis (FMEA) Hazard Operability Study (HAZOP) methods. module employs the Classic Delphi technique appropriate solutions control. methodology demonstrated its application real case study of Khosf region Iran, which suffers both drought severe floods simultaneously, exacerbated recent climate changes. results show high Coefficient determination (R2) scores SVM at 0.88, ANN 0.79, NNC 0.89. FMEA indicate that over 50% scenarios risk, while HAZOP indicates 30% same rate. Additionally, peak flows 24 m3/s considered occurrences can cause financial damage all techniques study. Finally, our research findings practical decision support system compatible sustainable development concepts resilience

Язык: Английский

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A soft-sensor for sustainable operation of coagulation and flocculation units

Engineering Applications of Artificial Intelligence, Год журнала: 2022, Номер 115, С. 105315 - 105315

Опубликована: Авг. 31, 2022

Язык: Английский

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A BIA-Based Quantitative Framework for Built Physical Asset Criticality Analysis under Sustainability and Resilience

Buildings, Год журнала: 2023, Номер 13(1), С. 264 - 264

Опубликована: Янв. 16, 2023

Asset-intensive industries, such as the construction industry, have experienced major catastrophes that led to significant operational disruptions. Physical asset failure has been primary cause of these Therefore, implementing proper management plans, including continuity is crucial for business companies active in industries. However, often face severe resource limitations when plans all their physical assets. those critical assets are vital providing key products should be identified. Moreover, sustainability and resilience inseparable parts organizations’ strategies, strategic plans. any proposed ranking methodology prioritization encompass measures ensure its practicality. This paper proposes a novel framework criticality analysis based on so-called impact products/services through A hybrid fuzzy BWM-TOPSIS method first applied identify products. Then, DEMATEL-Bayesian network factors determine assets, while interdependencies among well captured. The normalized expected index defined guide managers taking appropriate directions developing case study gas company provided show applicability decision model. data needed each step gathered experts’ judgments, historical available sites, or quantitative risk assessment scenarios.

Язык: Английский

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A decision support tool for e-waste recycling operations using the hen-and-chicks bio-inspired optimization metaheuristic

Decision Analytics Journal, Год журнала: 2023, Номер 7, С. 100216 - 100216

Опубликована: Апрель 6, 2023

E-waste from end-of-life electrical and electronic devices is one of the fastest growing waste streams households businesses. recycling yields environmental sustainability economic benefits. Due to continuous changes in e-waste types compositions, businesses face challenges optimize their operational configuration achieve better performance. To help recyclers mitigate this problem, we have developed a modular decision support tool called Comprehensive Manufacturing Assessment Tool (CMAT) that can simulate both operations economics. This give valuable insights regarding profitability entire operation different types. In addition, new bio-inspired metaheuristic optimization algorithm, hen-and-chicks (HACO), was assign manpower workstations maximize efficiencies. According results our case study, laptops, desktops, computer peripherals are three products produce most profit. Our examination sensitivity material prices shows price steel has significant influence on total profit, because it widely used majority devices. We released as open-source software under general public license. It could be customized for other industries beyond business by making more efficient.

Язык: Английский

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