Text summarization automatically produces a summary containing important sentences and
includes all relevant important information from the original document. One of the main …

Time series is an important class of temporal data objects and it can be easily obtained from
scientific and financial applications. A time series is a collection of observations made …

Since its inception in 1965, the theory of fuzzy sets has advanced in a variety of ways and in
many disciplines. Applications of this theory can be found, for example, in artificial …

Interval type-2 fuzzy logic controllers (IT2 FLCs) have recently been attracting a lot of
research attention. Many reported results have shown that IT2 FLCs are better able to …

The effect of the linguistic (L-) summarization mined from a given dataset D by a human-
made method M strongly depends on the fuzzy sets constructed to represent the L-words of …

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 …

Quantified sentences are a very powerful notion for modelling statements in Natural
Language (NL), but in practice they have been used to solve several problems. This paper is …

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 …

Linguistic summarization (LS) is a data mining or knowledge discovery approach to extract
patterns from databases. Many authors have used this technique to generate summaries like …

To sustain competitiveness in contemporary, fast-paced markets, organizations increasingly
focus on innovating their business models to enhance current value propositions or to …