Bipolar q-ROF Hybrid Decision Making Model With Golden Cut for Analyzing the Levelized Cost of Renewable Energy Alternatives

IEEE Access, Год журнала: 2022, Номер 10, С. 42507 - 42517

Опубликована: Янв. 1, 2022

Energy costs are the key factors regarding selection of appropriate renewable energy (RWG) alternatives. All a power plant, such as investment, operation, maintenance, and repair considered in scope levelized costs. Therefore, for effective determination selling price energy, cost has guiding role. Because RWG alternatives develop sustainable production consumption long term, leading indicators these should be analyzed significantly. Accordingly, this study, it is aimed to investigate by using bipolar q-rung orthopair fuzzy (q-ROF) hybrid decision-making approach. The novelty study recommend an integrated model based on q-ROFSs with golden cut. At first stage, q-ROF multi stepwise weight assessment ratio analysis (M-SWARA) employed weighting selected criteria following technique order preference similarity ideal solution (TOPSIS) rank terms performance. On other side, vise kriterijumska optimizacija i kompromisno resenje (VIKOR) also In addition issue, sensitivity performed four cases comparatively. Hence, consistency, reliability coherency proposed can measured. It identified that capacity loss greatest importance projects. Solar found best clean type respect management context, would investors design projects close center. This will contribute increasing efficiency productivity

Язык: Английский

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Road safety assessment and risks prioritization using an integrated SWARA and MARCOS approach under spherical fuzzy environment

Neural Computing and Applications, Год журнала: 2022, Номер 35(6), С. 4549 - 4567

Опубликована: Окт. 25, 2022

Abstract There are a lot of elements that make road safety assessment situations unpredictable and hard to understand. This could put people's lives in danger, hurt the mental health society, cause permanent financial human losses. Due ambiguity uncertainty risk process, multi-criteria decision-making technique for dealing with complex systems involves choosing one many options is an important strategy assessing safety. In this study, integrated stepwise weight ratio analysis (SWARA) measurement alternatives ranking according compromise solution (MARCOS) approach under spherical fuzzy (SF) set was considered. Then, proposed methodology applied develop failure mode effect (FMEA) rural roads Cosenza, southern Italy. Also, results modified FMEA by SF-SWARA-MARCOS were compared conventional FMEA. The score demonstrated source (human) plays significant role crashes other sources risk. two risks, including landslides floods, had lowest values among factors affecting Calabria, respectively. correlation between scenario outcomes main orders also investigated. study done line goals sustainable development goal mobility, which find risks lower number accidents on road. As result, it thus essential reconsider laws measures necessary reduce regional network Calabria improve

Язык: Английский

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An integrated stepwise weight assessment ratio analysis and weighted aggregated sum product assessment framework for sustainable supplier selection in the healthcare supply chains

Supply Chain Analytics, Год журнала: 2023, Номер 1, С. 100001 - 100001

Опубликована: Янв. 6, 2023

Supplier selection is a difficult task imposing significant challenges for supply chain managers in today's competitive environment. Sustainability adds another layer of complexity to this already problem, given the global concerns on social, economic, and environmental impacts, especially emerging economies. Many multi-criteria decision-making (MCDM) methods have been proposed sustainable supplier selection. However, insufficient emphasis literature supporting decisions healthcare testing facilities This study proposes process from sustainability perspective utilizing an integrated MCDM framework combining stepwise weight assessment ratio analysis (SWARA) weighted aggregated sum product (WASPAS). SWARA used rank criteria, WASPAS utilized select most suitable supplier. An Additive Ratio Assessment (ARAS) Evaluation based Distance Average Solution (EDAS) are validate results. A sensitivity conducted test different scenarios interest with method. Cost stability, continuous improvement quality control, past performance reputation top-weighted criteria study. The findings research provide actionable insights assist responding more efficiently. contributions also inform policymakers make responsible establish regulations improve industry

Язык: Английский

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An integrated SWARA-CODAS decision-making algorithm with spherical fuzzy information for clean energy barriers evaluation

Expert Systems with Applications, Год журнала: 2023, Номер 223, С. 119884 - 119884

Опубликована: Март 16, 2023

Язык: Английский

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Evaluation of blockchain implementation solutions in the sustainable supply chain: A novel hybrid decision approach based on Z-numbers

Expert Systems with Applications, Год журнала: 2023, Номер 235, С. 121123 - 121123

Опубликована: Авг. 10, 2023

Язык: Английский

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Sustainable resilient recycling partner selection for urban waste management: Consolidating perspectives of decision-makers and experts

Applied Soft Computing, Год журнала: 2023, Номер 137, С. 110120 - 110120

Опубликована: Фев. 26, 2023

Язык: Английский

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Sustainable supplier selection in the textile dyeing industry: An integrated multi-criteria decision analytics approach

Resources Conservation & Recycling Advances, Год журнала: 2022, Номер 15, С. 200117 - 200117

Опубликована: Сен. 28, 2022

It is important to implement sustainability throughout the supply chain and manufacturing process in order achieve a system. As part of that effort, selecting an appropriate supplier while taking into account critical requirement today's industry, particularly emerging economies like Bangladesh. This even more for any industry utilizes variety chemicals its process. research attempted develop multi criteria decision making (MCDM) framework sustainable selection textile dyeing one Bangladesh's largest chemical-consuming industries. An extensive literature review expert feedback have identified 15 economic, environmental, social evaluation selection. The weights were determined using Stepwise Weight Assessment Ratio Analysis (SWARA) method. Following that, Weighted Aggregated Sum Product (WASPAS) method was used determine final ranking suppliers sector SWARA method's weights. According SWARA's findings, most criterion "chemical quality," followed by "price chemical," "meeting delivery time," "employee health safety," "environmental management system." WASPAS indicates A, global chemical based Singapore, all competing suppliers. Later this study, sensitivity analysis conducted various values (λ) later comparing results with popular MCDM methods. Sensitivity ensures obtained from fact valid. study expected assist decision-makers industries efficiently select who are not only economically viable but also environmentally long run.

Язык: Английский

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HECON: Weight assessment of the product loyalty criteria considering the customer decision's halo effect using the convolutional neural networks

Information Sciences, Год журнала: 2022, Номер 623, С. 184 - 205

Опубликована: Дек. 19, 2022

Язык: Английский

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Evaluation of Wind Turbine Failure Modes Using the Developed SWARA-CoCoSo Methods Based on the Spherical Fuzzy Environment

IEEE Access, Год журнала: 2022, Номер 10, С. 86750 - 86764

Опубликована: Янв. 1, 2022

Accurately recognizing potential failures in the early stages of providing products or services can prevent loss investment and time reduce risk safety hazards. Failure mode effects analysis (FMEA) is a conventional approach for detecting prioritizing probable product's design production process. Nevertheless, traditional priority number (RPN) method has come under criticism its deficiencies. This paper proposes modified FMEA based on fuzzy Multi-Criteria Decision Making (MCDM) techniques to cope with weaknesses previous methodologies improve primary method. The concept spherical sets (SFS) utilized address vagueness impreciseness information that allows experts have more freedom making decisions by including membership, non-membership, hesitation sets. Initially, procedure assigning weights RPN criteria implemented SFS step-wise weight assessment ratio (SWARA). Then, failure modes are ranked combined compromise solution (CoCoSo) effectiveness practicality suggested illustrated through case study Manjil wind farm Iran. Results show model reliable realistic be prioritization than common other integrated MCDM approaches.

Язык: Английский

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Environment risk assessment of wastewater treatment using FMEA method based on Pythagorean fuzzy multiple-criteria decision-making

Environment Development and Sustainability, Год журнала: 2022, Номер unknown

Опубликована: Июль 25, 2022

Язык: Английский

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