This paper is an overview of past and present works dealing with fuzzy numbers and their
operations. A fuzzy number (more generally a fuzzy quantity) is a fuzzy set in the real line …

In spatial reasoning, relationships between spatial entities play a major role. In image
interpretation, computer vision and structural recognition, the management of imperfect …

In this article, we propose the reproducing kernel Hilbert space method to obtain the exact
and the numerical solutions of fuzzy Fredholm–Volterra integrodifferential equations. The …

The present manuscript is intended to be a textbook that could serve both undergraduate
and graduate students when studying Fuzzy Set Theory and Applications. It is also intended …

In the present paper, using novel generalizations of the Hukuhara difference for fuzzy sets,
we introduce and study new generalized differentiability concepts for fuzzy valued functions …

Modeling of uncertainty differential equations is very important issue in applied sciences and
engineering, while the natural way to model such dynamical systems is to use fuzzy …

This book is aimed at both experts and non-experts with an interest in getting acquainted
with sequence spaces, matrix transformations and their applications. It consists of several …

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

Summability Theory and Its Applications explains various aspects of summability and
demonstrates its applications in a rigorous and coherent manner. The content can readily …

A classical measure is essentially a set function satisfying nonnegativity and countable
additivity axioms. However, the additivity axiom of classical measure theory has been …