While fuzzy logic connectives were seen as generalisations of classical logic connectives,
their utility has extended beyond their intended use and context. One interesting avenue of …

In this paper, we present a new decision-making approach that uses distance measures and
induced aggregation operators. We introduce the induced ordered weighted averaging …

The ordered weighted average (OWA) is an aggregation operator that provides a
parameterized family of operators between the minimum and the maximum. This paper …

A measure assigns values to sets and generalizes the concept of length, area and volume.
Probability measures are a well known example of measures. Lebesgue measures are …

In this paper, we present the uncertain probabilistic ordered weighted averaging distance
(UPOWAD) operator. Its main advantage is that it uses distance measures in a unified …

We describe the basic properties of a norm and introduce the Minkowski norm. We then
show that the OWA aggregation operator can be used to provide norms. To enable this we …

We consider an application of fuzzy measures to the problem of metric learning in
semisupervised clustering. We investigate the necessary and sufficient conditions on the …

Abstract Xu and Chen (J Syst Sci Syst Eng 17: 432–445, 2008) introduced a new decision-
making technique called the ordered weighted distance (OWD) measure, having been …

The fuzzy integral (FI) is an extremely flexible aggregation operator. It is used in numerous
applications, such as image processing, multicriteria decision making, skeletal age-at-death …

This chapter gives an overview of aggregation functions toward their use in recommender
systems. Simple aggregation functions such as the arithmetic mean are often employed to …