A systematic literature review of MABAC method and applications: An outlook for sustainability and circularity
Multiple Criteria Decision-Making (MCDM) is one of the most reliable and applicable
decision-making tools to address real-life complex and multi-dimensional problems in …
decision-making tools to address real-life complex and multi-dimensional problems in …
Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Multi-criterion decision making (MCDM) methods can derive alternative rankings as
solutions to decision-making problems based on survey or historical data about the …
solutions to decision-making problems based on survey or historical data about the …
Determining criteria weights with genetic algorithms for multi-criteria decision making methods: The case of logistics performance index rankings of European Union …
One of the most critical metrics for evaluating countries' logistics performance is the Logistics
Performance Index (LPI). Although the LPI is an effective tool, it is also an index with some …
Performance Index (LPI). Although the LPI is an effective tool, it is also an index with some …
Preference-based regret three-way decision method on multiple decision information systems with linguistic Z-numbers
H Wang, Y Ju, P Dong, A Wang, FJ Cabrerizo - Information Sciences, 2024 - Elsevier
Three-way decision theory (3WD) provides a reasonable solution to solve multi-criteria
decision-making (MCDM) problems and reduces more decision risks than two-way decision …
decision-making (MCDM) problems and reduces more decision risks than two-way decision …
New approach for quality function deployment based on social network analysis and interval 2-tuple Pythagorean fuzzy linguistic information
Quality function deployment (QFD) is a useful quality management tool for the transformation
of customer requirements (CRs) into engineering characteristics (ECs) in product …
of customer requirements (CRs) into engineering characteristics (ECs) in product …
Minkowski distance measure in fuzzy PROMETHEE for ensemble feature selection
K Janani, SS Mohanrasu, A Kashkynbayev… - … and Computers in …, 2023 - Elsevier
A data preprocessing step is necessary to modulate effective and efficient data that can be
utilized in numerous data mining and machine learning problems, especially in high …
utilized in numerous data mining and machine learning problems, especially in high …
[HTML][HTML] A risk assessment and prediction framework for diabetes mellitus using machine learning algorithms
Diabetes disease seriously threatens people's health and is becoming more common
nowadays. Diabetes Mellitus (DM) is a condition caused by high blood sugar levels …
nowadays. Diabetes Mellitus (DM) is a condition caused by high blood sugar levels …
A novel interval neutrosophic-based group decision-making approach for sustainable development assessment in the computer manufacturing industry
HW Lo - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Long-term development in computer manufacturing is crucial to satisfying the demands for
the software and hardware needed for artificial intelligence (AI) computation. However, the …
the software and hardware needed for artificial intelligence (AI) computation. However, the …
A generalized fuzzy clustering framework for incomplete data by integrating feature weighted and kernel learning
Y Yang, H Chen, H Wu - PeerJ Computer Science, 2023 - peerj.com
Missing data presents a challenge to clustering algorithms, as traditional methods tend to
pad incomplete data first before clustering. To combine the two processes of padding and …
pad incomplete data first before clustering. To combine the two processes of padding and …
Enhancing water quality prediction for fluctuating missing data scenarios: A dynamic Bayesian network-based processing system to monitor cyanobacteria …
M Pazo, S Gerassis, M Araújo, IM Antunes… - Science of the Total …, 2024 - Elsevier
Tackling the impact of missing data in water management is crucial to ensure the reliability
of scientific research that informs decision-making processes in public health. The goal of …
of scientific research that informs decision-making processes in public health. The goal of …