PALLET POOLING SERVICE PROVIDER SELECTION WITH AN INTUITIONISTIC FUZZY-BASED AROMAN MODEL

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145189 - 145189

Опубликована: Март 1, 2025

Язык: Английский

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Assessment of agricultural sustainability in agro-climatic regions of India: A single-valued neutrosophic distance measure-based hybrid ranking framework

Advanced Engineering Informatics, Год журнала: 2025, Номер 65, С. 103323 - 103323

Опубликована: Апрель 12, 2025

Язык: Английский

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Prioritizing the European Investment Sectors Based on Different Economic, Social, and Governance Factors Using a Fuzzy-MEREC-AROMAN Decision-Making Model

Sustainability, Год журнала: 2024, Номер 16(17), С. 7790 - 7790

Опубликована: Сен. 6, 2024

This study tackles the challenge of identifying optimal investment sectors amid growing importance environmental, social, and governance (ESG) factors, which are often complex conflicting. research aims to effectively evaluate prioritize ten based on twelve ESG criteria by integrating expert evaluations with two advanced multi-criteria decision-making (MCDM) methods. Three teams assessed each sector’s performance these using fuzzy logic manage uncertainties in judgments. The MEREC (MEthod Removal Effects Criteria) identified biodiversity land use as most critical factor, while transparency disclosure was least significant. AROMAN (Alternative Ranking Order Method Accounting for two-step Normalization) method further used rank alternative sectors, impact investing funds emerging top choice, followed renewable energy sustainable responsible funds. Conversely, ESG-compliant stocks, ESG-focused exchange-traded funds, real estate trusts ranked lowest. study’s findings were validated through comparisons other MCDM tools sensitivity analysis, confirming robustness proposed model. offers a valuable framework investors looking incorporate considerations into their decision-making, promoting practices.

Язык: Английский

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Enhancing decision support system for finished vehicle logistics service provider selection through a single-valued neutrosophic Dombi Bonferroni-based model

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 138, С. 109441 - 109441

Опубликована: Окт. 18, 2024

Язык: Английский

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