Multi-province comparisons of digital financial inclusion performance in China: A group ranking method with preference analysis
Abstract The Peking University Digital Financial Inclusion Index of China (PKU-DFIIC)
measures the digital financial inclusion (DFI) performance in China from three dimensions …
measures the digital financial inclusion (DFI) performance in China from three dimensions …
A benchmark of categorical encoders for binary classification
Categorical encoders transform categorical features into numerical representations that are
indispensable for a wide range of machine learning models. Existing encoder benchmark …
indispensable for a wide range of machine learning models. Existing encoder benchmark …
Inter-country comparisons of energy system performance with the energy trilemma index: An ensemble ranking methodology based on the half-quadratic theory
Abstract The World Energy Council annually publishes the Energy Trilemma Index (ETI) to
highlight an economy's challenges in balancing the Trilemma and opportunities for …
highlight an economy's challenges in balancing the Trilemma and opportunities for …
[HTML][HTML] A general approach for computing a consensus in group decision making that integrates multiple ethical principles
We tackle the problem of computing a consensus according to multiple ethical principles–
which can include, for example, the principle of maximum freedom associated with the …
which can include, for example, the principle of maximum freedom associated with the …
A new correlation coefficient for comparing and aggregating non-strict and incomplete rankings
We introduce a correlation coefficient that is designed to deal with a variety of ranking
formats including those containing non-strict (ie, with-ties) and incomplete (ie, unknown) …
formats including those containing non-strict (ie, with-ties) and incomplete (ie, unknown) …
An axiomatic distance methodology for aggregating multimodal evaluations
This work introduces a multimodal data aggregation methodology featuring optimization
models and algorithms for jointly aggregating heterogeneous ordinal and cardinal …
models and algorithms for jointly aggregating heterogeneous ordinal and cardinal …
Enhancing collective estimates by aggregating cardinal and ordinal inputs
There are many factors that affect the quality of data received from crowdsourcing, including
cognitive biases, varying levels of expertise, and varying subjective scales. This work …
cognitive biases, varying levels of expertise, and varying subjective scales. This work …
Elicitation and aggregation of multimodal estimates improve wisdom of crowd effects on ordering tasks
We present a wisdom of crowds study where participants are asked to order a small set of
images based on the number of dots they contain and then to guess the respective number …
images based on the number of dots they contain and then to guess the respective number …
Decision field theory-combined multi-attribute group decision-making method for incomplete linear ordinal ranking
N Liu, Z Xu, H Wu - Applied Soft Computing, 2023 - Elsevier
In practice, experts sometimes compare alternatives from different perspectives by rankings
to express their preferences. However, it is common that the comparing information they give …
to express their preferences. However, it is common that the comparing information they give …
Method of interval fusion with preference aggregation in brightness thresholds selection for automatic weld surface defects recognition
SV Muravyov, DC Nguyen - Measurement, 2024 - Elsevier
Checking the weld joint quality is carried out during visual inspection process and depends
significantly on an operator's experience. In the article, an approach is proposed to …
significantly on an operator's experience. In the article, an approach is proposed to …