Results 151 to 160 of about 12,147,861 (283)
Auto‐ISC: Inter‐Sample Contrastive Learning for Automated Curve Angle Calculation From Ultrasound
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Scoliosis assessment has been increasingly supported by AI‐assisted tools, enabling more efficient and standardised clinical workflows. However, existing ultrasound‐based pipelines often suffer from limited generalisation and unstable performance.
Chen Zhang +3 more
wiley +1 more source
Automatic and Semi-automatic Analytic Hierarchy Process (AHP)
Trends in Agricultural and Environmental SciencesThe Analytic Hierarchy Process (AHP) is the most commonly used method for solving multi-criteria decision-making problems worldwide. Although AHP offers many advantages for problems with several alternatives and criteria, the pairwise comparisons require considerable effort.
Bruno Rodrigues de Oliveira +1 more
openaire +1 more source
A Note on Corporate Overseas Investment Decision Priorities of Taiwanese Direct Real Estate Investors [PDF]
Data generated from a situationally adapted analytical hierarchical process (AHP) questionnaire focusing on two politically confrontational countries (the People's Republic of China and the Republic of China on Taiwan), provides a revealing assessment of
Chao-i Hsieh
core
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This study investigates early detection of heart diseases using a new Enhanced Fuzzy Min‐Max (EFMM) neural network. Two key modifications are introduced: a refined EFMM contraction procedure during the learning phase to reduce data distortion and information loss, and a new weighted validation method to optimise hyperbox selection and improve ...
Mohammed Falah Mohammed +3 more
wiley +1 more source
International Transactions in Operational Research, EarlyView.Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley +1 more source
International Transactions in Operational Research, EarlyView.Abstract Many decision‐making processes are susceptible to errors and inconsistencies introduced by decision‐makers (DMs). The development of decision support systems (DSS) has brought about a way to guide DMs through complex decision scenarios. However, due to the complexity of the process, inconsistencies may still arise.
Evanielle Barbosa Ferreira +2 more
wiley +1 more source
A spectral analysis extension to DEMATEL for strategic leverage points identification
International Transactions in Operational Research, EarlyView.Abstract Efforts to intervene in complex systems often emphasize influential factors, yet system behavior is equally shaped by the relationships among them. Methods such as Decision‐Making Trial and Evaluation Laboratory (DEMATEL) map causal structures but remain descriptive and do not identify which relationships provide the greatest leverage for ...
Pavlos Delias, Kerasia Kalkitsa
wiley +1 more source
, 2013 RINGKASAN Sistem Penunjang Keputusan Penentuan Kualitas Mutu Komoditi Sawah Berdasarkan Standar Nasional Indonesia Dengan Metode Analytical Hierarchy Process ; Diah Muslimatul Jannah, 092410101037; 2013:124 halaman; Program Studi Sistem Informasi ...
Diah Muslimatul Jannah
core
International Transactions in Operational Research, EarlyView.Abstract Artificial intelligence (AI)‐enabled digital technologies have the potential to transform agriculture by supporting decision‐making and automating operations. However, their limited adoptions and scholars’ atheoretical explorations constrain our understanding.
Guoqing Zhao +5 more
wiley +1 more source
Balancing efficiency and robustness in project team formation: a hybrid evolutionary‐MCDM approach
International Transactions in Operational Research, EarlyView.Abstract Effective team formation requires balancing technical skills, personality compatibility, and project constraints when selecting small teams from large candidate pools. Traditional multi‐criteria decision‐making (MCDM) methods provide rigorous evaluation but face scalability limitations.
Georgios Stavrou +2 more
wiley +1 more source