Probabilistic uncertainty and imprecision in structural parameters and in environmental
conditions and loads are challenging phenomena in engineering analyses. They require …

Stochastic geometry is a relatively new branch of mathematics. Although its predecessors
such as geometric probability date back to the 18th century, the formal concept of a random …

The aim of this paper is to analyze the behavior of models which describe the population
dynamics taking into account the subjectivity in the state variables or in the parameters. The …

This chapter is an overview of past and present works dealing with fuzzy intervals and their
operations. A fuzzy interval is a fuzzy set in the real line whose level-cuts are intervals …

This paper presents a backward analysis on the interpretation, modelling and impact of the
concept of fuzzy random variable. After some preliminaries, the situations modelled by …

The purpose of this book is to provide the reader who is interested in applications of fuzzy
set theory, in the first place with a text to which he or she can refer for the basic theoretical …

This handbook provides information about fundamental aspects of the field and explores the
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …

Fuzzy probability theory is an extension to probability theory to dealing with a mix of
probabilistic uncertainty and non-probabilistic imprecision. It provides a theoretical basis to …

Integrals of fuzzy-number-valued functions Page 1 ELSEVIER Fuzzy Sets and Systems 86 (1997)
213-222 FUZZY sets and systems Integrals of fuzzy-number-valued functions Yun Kyong Kim …

In this paper we present an extension of the Minkowski embedding theorem, showing the
existence of an isometric embedding between the class F c (X) of compact-convex and level …