While the rapid development of information technology has made easy to store and access
the huge amount of data, it also brings another problem, that of how to extract potentially …

Warning: This paper contains examples of gender non-affirmative language which could be
offensive, upsetting, and/or triggering. Transgender and non-binary (TGNB) individuals …

In the last two decades, the text summarization task has gained much importance because
of the large amount of online data, and its potential to extract useful information and …

This work presents a new perspective on how Zadeh's ideas related to fuzzy logic and
computing with words have influenced the crucial issue of information aggregation and have …

The increased demand of systems able to generate reports in natural language from
numerical data involves the search for new solutions. This paper presents an adaptation of …

In this paper, we propose a framework for the automatic generation of natural language
descriptions of healthcare processes using quantitative and qualitative data and medical …

One of the current limitations of fuzzy linguistic descriptions of data is the lack of diversity of
protoforms that can be used to linguistically summarize data. Despite an important effort in …

The rapid growth of social networking usage has initiated a new business model called C2C
s-commerce which has opened a novel opportunity for SNS users to conduct commercial …

This paper presents an empirical research. It focuses on testing empirically the benefits of
providing users, in a specific domain, with textual interpretation of the fuzzy inferences …

Decision-making is often dependent on uncertain data, eg data associated with confidence
scores or probabilities. This article presents a comparison of different information …