A novel intuitionistic fuzzy best-worst method for group decision making with intuitionistic fuzzy preference relations

Information Sciences, Год журнала: 2024, Номер 666, С. 120404 - 120404

Опубликована: Март 5, 2024

Язык: Английский

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Inaccuracies in Expert Judgment: Comparative Analysis of RANCOM and AHP Methods in Housing Location Selection Problem

IEEE Access, Год журнала: 2024, Номер 12, С. 142083 - 142100

Опубликована: Янв. 1, 2024

Язык: Английский

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Integrating the group-based fuzzy best-worst method and fuzzy technique for order of preference by similarity to ideal solution for selecting contractors for heritage building renovation projects

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 142, С. 109928 - 109928

Опубликована: Янв. 5, 2025

Язык: Английский

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Partitioned Hamy mean aggregation for multi-criteria group decision-making in the MAIRCA framework with $${\textsf {q}}$$-rung orthopair fuzzy 2-tuple linguistic information

Granular Computing, Год журнала: 2024, Номер 9(3)

Опубликована: Май 21, 2024

Язык: Английский

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Application of Z-number based fuzzy MCDM in solar power plant location selection problem in Spatial planning

Energy Reports, Год журнала: 2024, Номер 12, С. 4034 - 4054

Опубликована: Окт. 7, 2024

Язык: Английский

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Advancing Urban Healthcare Equity Analysis: Integrating Public Participation GIS with Fuzzy Best–Worst Decision-Making

Sustainability, Год журнала: 2024, Номер 16(5), С. 1745 - 1745

Опубликована: Фев. 20, 2024

This study provides an innovative collaborative spatial decision support system (SDSS) that aims to ensure equitable distribution of healthcare services. Evaluating the equality access health services across different geographical areas is important, as it requires analysis various criteria such proximity centres and hospitals (HCHs), quality offered, connectivity primary roads, availability public transportation hubs, density patterns HCHs. purpose accomplished via use geographic information systems (GIS) multi-criteria (MCDA) methods. The proposed model includes weights criteria, which are determined through ordered weighted average (OWA) evaluated based on their ORness, ranges from 0 1. Furthermore, this improved by best–worst fuzzy method (F-BWM). approach produces a map clearly shows equity in urban environments. findings show maximum score observed was 0.38% (with ORness value 1), whilst minimum recorded 0.28%. In most severe scenario (ORness = 0), over 70% region degrees fairness, ranging moderate suitable very conditions. Governments authorities can strategically allocate resources address inequities facilities.

Язык: Английский

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An α-cut intervals based Fuzzy Best–Worst Method for Multi-Criteria Decision-Making

Applied Soft Computing, Год журнала: 2024, Номер 159, С. 111625 - 111625

Опубликована: Апрель 21, 2024

Язык: Английский

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The intuitionistic fuzzy linguistic assessment of forest soil quality with multi-granularity qualitative information

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(2)

Опубликована: Янв. 31, 2025

Язык: Английский

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Evaluating Energy Management Investments for Sustainable Transition of Smart Cities through a New Intuitionistic Fuzzy Consensus-based CoCoSo Methodology

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122655 - 122655

Опубликована: Фев. 1, 2025

Язык: Английский

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Research on power purchase risk measurement and grading evaluation of grid enterprises based on improved BWM–Cloud model under agency mode

International Journal of Low-Carbon Technologies, Год журнала: 2025, Номер 20, С. 568 - 579

Опубликована: Янв. 1, 2025

Abstract Grid enterprises need to assess the risk caused by multiple uncertainties such as market trading volume and price fluctuations when acting a proxy for customers purchase electricity in multitimescale markets. To this end, paper constructs measurement grading evaluation model power grid agency purchase. First of all, multidimensional risks corresponding uncertainty factors agent participation transactions are analyzed. Based on this, three-dimensional multilevel system is established evaluate Then, values three-level indicators calculated metric method input standardized into constructed improved Best–Worst Method–Cloud (BWM–Cloud) indicators. Finally, simulation analysis carried out through actual data agents province A China. The results show that can effectively measure provide management references subsequent business companies.

Язык: Английский

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