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 …

Possibility theory stands halfway between logical and probabilistic representation
frameworks. Possibility theory, as a setting for handling epistemic uncertainty, may have a …

Fundamentals of Fuzzy Sets covers the basic elements of fuzzy set theory. Its four-part
organization provides easy referencing of recent as well as older results in the field. The first …

The theory of fuzzy sets has been recognized as a suitable tool to model several kinds of
patterns that can hold in data. In this paper, we are concerned with the development of a …

This paper is an introduction to fuzzy set theory. It has several purposes. First, it tries to
explain the emergence of fuzzy sets from an historical perspective. Looking back to the …

Possibility theory was coined by LA Zadeh in the late seventies as an approach to model
flexible restrictions constructed from vague pieces of information, described by means of …

The main aim of this paper is to present a revision of the most relevant results about the use
of Fuzzy Sets in Data Mining, specifically in relation with the discovery of Association Rules …

Bow-tie analysis is a fairly new concept in risk assessment that can describe the
relationships among different risk control parameters, such as causes, hazards and …

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 …

This chapter deals with an important issue pertaining to intelligent information processing
systems, that of managing information coming from several sources. Possibility theory and …