Results 71 to 80 of about 9,828,530 (194)
This paper investigates an approach for multiple attribute decision making (MADM) problems with interval-valued intuitionistic fuzzy numbers (IVIFNs). To do that, the nonlinear score, accuracy and hesitation functions of IVIFNs are developed based on the
Jian Wu, Qingwei Cao, Hui Li
doaj +1 more source
Diabetes, Obesity and Metabolism, Volume 28, Issue 7, Page 6441-6445, July 2026.
Andrea E. Scaramuzza +29 more
wiley +1 more source
ABSTRACT Introduction Maternal harm disproportionately affects Black birthing individuals, with systemic and provider‐related factors contributing significantly to preventable severe maternal morbidity (SMM) and maternal mortality. Despite the severity of the crisis, traditional maternal safety approaches, which typically exclude patient voices ...
Angela D. Thomas +10 more
wiley +1 more source
EVALUATING ALTERNATIVE FARMING SYSTEMS: A FUZZY MADM APPROACH [PDF]
This paper develops a decision support method that integrates measures of achievement in the economic, environmental, and social aspects of farming. The decision support method combines multiple attribute decision making (MADM) with fuzzy logic.
Marks, Leonie A., Dunn, Elizabeth G.
core
An integrated TOPSIS model with exponential intuitionistic entropy measure for multi-attribute decision-making (MADM) [PDF]
The determination of attribute weights in solving multi-attribute decision-making (MADM) problems is crucial and significantly impacts the results. Many researchers have highlighted the effectiveness of deriving attribute weights objectively based on the
Faiz, Mohd Turan +2 more
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The ongoing research in the field of decision-making can be analyzed from different perspectives. Research trends indicate that multi-attribute decision-making (MADM) methods have a significant impact on engineering and management scientific areas. Since
Danijela Tadić, Aleksandar Aleksić
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Identifying the Suspected Cases of Money Laundering in Banking Using Multiple Attribute Decision Making (MADM) [PDF]
Azam Parsaee Tabar +2 more
openaire +1 more source
Adaptive Satellite Selection via Deep Reinforcement Learning for Dynamic Emergency Scenarios
This work proposes a reinforcement learning–based satellite handover framework designed for emergency communication scenarios. The method adaptively responds to bandwidth and CNR fluctuations, achieving improved link stability under both deterministic and stochastic disturbances.
Ke Chen +3 more
wiley +1 more source
Lagrange-Integrated GRA Model for Urban Landscape Sculpture Site Selection with Neutrosophic Decision-Making [PDF]
Urban landscape sculpture plays a crucial role in preserving cultural heritage, enhancing city vitality, and reflecting the lives of urban citizens. With the continued development of landscape sculpture in modern urban environments, the process of site ...
Qiwei Liu, Jiayin Li, Chang Liu
doaj +1 more source
This paper tackles two critical challenges in VPP scheduling: the underexplored synergy between economic and ecological objectives and the solution mismatch between day‐ahead and intra‐day stages caused by resource temporal coupling. Our solution is a two‐stage strategy that employs multi‐objective optimization for day‐ahead planning and utilizes value‐
Yang Ping +3 more
wiley +1 more source

