The effective extraction of expert knowledge is paramount for ensuring reliable results in
decision support systems, especially considering the complexities inherent in decision …

In a typical citizen science scenario different groups of people take on various roles in a
research process that is often coupled with educational, social or personal objectives. A …

As we all know, traditional privacy protection methods are not always reliable. In this paper
we propose a new social network privacy protection based on a new Map-Reduce model …

Sustainable Intensification (SI) interventions are urgently required, particularly those suited
to resource poor farms in Africa. Legume crops have been promoted as a key ingredient for …

The rank aggregation problem can be summarized as the problem of aggregating individual
preferences expressed by a set of judges to obtain a ranking that represents the best …

The primary aim of market segmentation is to identify relevant groups of consumers that can
be addressed efficiently by marketing or advertising campaigns. This paper addresses the …

We propose two robust fuzzy clustering techniques in the context of preference rankings to
group judges into homogeneous clusters even in the case of contamination due to outliers …

Cutset-type possibilistic c-means (CPCM) is an improved version of possibilistic c-means
(PCM), and it addresses the issue of consistency clustering in PCM. However, the clustering …

We define a new distance measure for ranking data using a mixture of copula functions. Our
distance measure evaluates the dissimilarity of subjects' ranking preferences to segment …

One of the promising technologies for the Internet of Things (IoT) is represented by the Long
Range (LoRa) and its communication protocol Long Range Wide Area Network …