Implication and aggregation functions play important complementary roles in the field of
fuzzy logic. Both have been intensively investigated since the early 1980s, revealing a tight …

In this first chapter of Part I, we discuss families of fuzzy implications obtained from binary
operations on the unit interval [0, 1], ie, from basic fuzzy logic connectives, viz., t-norms, t …

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 …

One of the key operations in fuzzy logic and approximate reasoning is the fuzzy implication,
which is usually performed by a binary operator, called an implication function or, simply, an …

In this paper, we introduce the notion of preaggregation function. Such a function satisfies
the same boundary conditions as an aggregation function, but, instead of requiring …

Overlap functions are aggregation operators specially introduced to be used in applications
involving the overlap problem and/or when the associativity property is not strongly required …

Overlap functions and grouping functions are special kinds of aggregation operators that
have been recently proposed for applications in classification problems, like, eg, imaging …

This work studies the aggregation operators on the set of all possible membership degrees
of typical hesitant fuzzy sets, which we refer to as H, as well as the action of H …

Considering the important role played by overlap and grouping functions in several
applications in which associativity is not demanded, in this paper we introduce the notion of …

Existing research suggests that the code clone (duplicated code) is one of the factors that
degrades the design and the structure of software and lowers the software quality such as …