Enhancing decision support system for finished vehicle logistics service provider selection through a single-valued neutrosophic Dombi Bonferroni-based model DOI
Karahan Kara, Galip Cihan Yalçın, Pınar Gürol

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 138, P. 109441 - 109441

Published: Oct. 18, 2024

Language: Английский

PALLET POOLING SERVICE PROVIDER SELECTION WITH AN INTUITIONISTIC FUZZY-BASED AROMAN MODEL DOI
Pınar Gürol,

Sude Yurdabak,

Alize Yaprak Gül

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145189 - 145189

Published: March 1, 2025

Language: Английский

Citations

0
Assessment of agricultural sustainability in agro-climatic regions of India: A single-valued neutrosophic distance measure-based hybrid ranking framework DOI
Arunodaya Raj Mishra, Pratibha Rani, Erfan Babaee Tırkolaee

et al.

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103323 - 103323

Published: April 12, 2025

Language: Английский

Citations

0
Prioritizing the European Investment Sectors Based on Different Economic, Social, and Governance Factors Using a Fuzzy-MEREC-AROMAN Decision-Making Model DOI Open Access
Andreea Larisa Olteanu, Alina Elena Ionașcu,

Sorinel Cosma

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7790 - 7790

Published: Sept. 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.

Language: Английский

Citations

1
Enhancing decision support system for finished vehicle logistics service provider selection through a single-valued neutrosophic Dombi Bonferroni-based model DOI
Karahan Kara, Galip Cihan Yalçın, Pınar Gürol

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 138, P. 109441 - 109441

Published: Oct. 18, 2024

Language: Английский

Citations

0