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 …

Fuzzy logics are many-valued logics that are well suited to reasoning in the context of
vagueness. They provide the basis for the wider field of Fuzzy Logic, encompassing diverse …

This article deals with many-valued modal logics, based only on the necessity operator, over
a residuated lattice. We focus on three basic classes, according to the accessibility relation …

This paper surveys the present state of knowledge on propositional fuzzy logics extending
SBL with an additional involutive negation. The involutive negation is added as a new …

This paper is a contribution to Mathematical fuzzy logic, in particular to the algebraic study of
t-norm based fuzzy logics. In the general framework of propositional core and Δ-core fuzzy …

Abstract Generative Adversarial Networks (GANs) are well-known tools for data generation
and semi-supervised classification. GANs, with less labeled data, outperform Deep Neural …

Fuzzy logic is intended to model logical reasoning with vague or imprecise statements like
“Petr is young (rich, tall, hungry, etc.)”. It refers to a family of many-valued logics, where the …

This paper is devoted to reasoning about fuzzy logic which is based on various personal
observations of the author. Our goal is to think of the state of the art in mathematical fuzzy …

The representation of human-originated information and the formalization of commonsense
reasoning has motivated different schools of research in Artificial or Computational …

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