The term" fuzzy logic," as it is understood in this book, stands for all aspects of representing
and manipulating knowledge based on the rejection of the most fundamental principle of …

This book presents a systematic treatment of deductive aspects and structures of fuzzy logic
understood as many valued logic sui generis. Some important systems of real-valued …

In (Gerla and Sessa, Fuzzy Logic and Soft Computing, Kluwer, Norwell, 1999, pp. 19–31) a
methodology that allows to manage uncertain and imprecise information in the frame of the …

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 …

Case-based reasoning (CBR) has received a great deal of attention in recent years and has
established itself as a core methodology in the field of artificial intelligence. The key idea of …

The construction of any broadly understood theory of information or infor mation processing
system involves two major methodological processes:(1) abstraction and analysis,(2) …

The aim of this paper is to survey a class of logical formalizations of similarity-based
reasoning models where similarity is understood as a graded notion of truthlikeness. We …

We consider the Gödel bi-modal logic determined by fuzzy Kripke models where both the
propositions and the accessibility relation are infinitely valued over the standard Gödel …

Mathematical morphology (MM) is a branch of image processing, which arose in 1964. It is
associated with the names of Georges Matheron and Jean Serra, who developed its main …

Nonsingleton fuzzy logic systems (NSFLSs) have the potential to capture and handle input
noise within the design of input fuzzy sets (FSs). In this article, we propose an online …