A Historical Account of Types of Fuzzy Sets and Their Relationships Page 1 IEEE
TRANSACTIONS ON FUZZY SYSTEMS, VOL. 24, NO. 1, FEBRUARY 2016 179 A Historical …

The induction of decision trees is a widely-used approach to build classification models that
guarantee high performance and expressiveness. Since a recursive-partitioning strategy …

In this paper, we propose new aggregation functions for the pairwise comparison of
alternatives in fuzzy preference modeling. More specifically, we introduce the concept of a …

Internal organs, like lungs, are very often examined by the use of screening methods. For
this purpose, we present an evaluation model based on a composition of fuzzy system …

In this paper we study under which conditions overlap and grouping functions satisfy some
commonly demanded properties such as migrativity or homogeneity. We also recall that the …

In this paper we deal with fusion functions, ie, mappings from [0, 1] n into [0, 1]. As a
generalization of the standard monotonicity and recently introduced weak monotonicity, we …

Interval-valued fuzzy sets have been shown to be a useful tool to deal with the ignorance
related to the definition of the linguistic labels. Specifically, they have been successfully …

Fuzzy Rule-Based Systems are appropriate tools to deal with classification problems due to
their good properties. However, they can suffer a lack of system accuracy as a result of the …

Ultrasound medical images are very important component of the diagnostics process. They
are widely used since ultrasound is a non-invasive and non-ionizing diagnostics method. As …

Among the computational intelligence techniques employed to solve classification problems,
Fuzzy Rule-Based Classification Systems (FRBCSs) are a popular tool because of their …