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The paper presents a methodology to evaluate the periodicity of a temporal data series, neither relying on assumption about the series form nor requiring expert knowledge to set parameters. It exploits tools from mathematical morphology to compute a periodicity degree and a candidate period, as well as the fuzzy set theory to generate a natural language sentence, improving the result interpretability. Experiments on both artificial and real data illustrate the relevance of the proposed approach.

FDMA identified variables patients used to determine PS. It highlighted a discrepancy between patients' and doctors' perceptions of asthma severity, suggesting that assessment of asthma severity should consider both patients' and doctors' perceptions of the disease and includes an AQLQ measure.

We study knowledge-based systems using fuzzy logic and we focus on the representation of knowledge through linguistic variables characterized by means of fuzzy qualifications or labels. We study a new form of linguistic modifier which slightly changes the qualifications through either a weakening or a reinforcement. This modifier is an important tool for approximate reasoning for two reasons: its use is equivalent to a simple rule given in a symbolic way, avoiding computations and compatible with the fuzzy logic; it enables gradual rules to be used in the context of deduction rules and corresponds to the idea of gradual changing of category.

Since the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems published its first issue in 1993, it has made important contributions to the research field of computer science. In this study, based on the dataset of the publications published in this journal between 1993 and 2016 retrieved from Web of Science, a general overview of this journal is performed using bibliometric methods and visualized networks. First, the productive and influential publications, authors, institutions, countries/territories, and supraregions are analysed based on the total number of citations, publications, and different citation thresholds. Second, network visualization analysis is applied to illustrate the links and connections between terms by using the VOSviewer software. Moreover, the most cited journals and common author keywords of three continents, including North America, Europe, and Asia, are also presented. This paper will hopefully help researchers understand the research patterns of this journal.

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