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 …

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 …

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 …

The process of evaluating the Human Resources performance of a project generates a large
amount of information that conditions timely decision-making at runtime and serves as a …

In this paper we provide a general approach for the concepts and processes related to the
generation of linguistic descriptions of time series. As we will see, this approach consists of …

Fierce competition in the global market forces companies to satisfy all aspects of customers'
needs during the product design stage. Among the customers' needs, affective needs are …

The novelty of this research is to use linguistically quantified sentences, the so called
linguistic summaries, to improve time series forecasting. The proposed Forecasting with …

Although plenty of techniques such as link prediction, clustering, and position analysis have
been proposed to analyze social and economic networks and patterns of social and …

In today's society, many decision-making problems cannot be merely solved based on
quantitative data. Even though some issues are able to be addressed by quantitative data …

Cross-docking location-planning problem is recognized as one of the significant issues in
logistics management. To address the issue, group decision-making methods are known as …