The need to make time-dependent assumptions is frequently encountered in many systems,
especially in dynamical systems. This paper presents a theoretical study of the …

Motivated by the recognized inadequacy of conventional techniques for the representation
and manipulation of defaults which allow vague concepts as well, in this paper we present a …

This paper presents a theoretical study of a formal technique for representing and
manipulating partially true vague knowledge in computer. Our approach to the …

In this paper we present a purely semantic approach to approximate reasoning based on the
extended concept of the law of disjunctive syllogism. The concept of generalized disjunctive …

In this paper, the method of least squares is applied to the fuzzy inference rules. We begin
studying the conditions in which from a fuzzy set we can build another through the method of …

We undertake a mathematical investigation of the problem of inferring a truth value (s) for a
propositional sentence. given truth values for some other set of sentences. Interpreting such …

Many years of research in Artificial Intelligence, Cognitive Science and allied area reveal
that the cognitive process of human reasoning deals with imprecise premises. As cognitive …

Abstract Immediate after World War II people were very keen to develop sophisticated tool
for communication and control. Despite the landmark achievement of the classical control …

The inexact information system is based on linguistic terms which have values lying in the
interval [0; 1]. Imprecision has advantages, because fuzzy sets avoid the rigidity of …

We describe in this paper an overview of new methods that we have been working on for
building intelligent systems for pattern recogni-tion using type-2 fuzzy logic and soft …