Provides a unique and methodologically consistent treatment of various areas of fuzzy
modeling and includes the results of mathematical fuzzy logic and linguistics This book is …

The paper describes a new fuzzy filter based on the method of areas' ratio which allows to
reduce noise during filtering signals. To expand the functionality of the method of areas' ratio …

This paper presents a new framework for the symbolic representation of data which is
referred to as signatures. The definitions of signatures and of signature trees are first given …

In this paper, we describe an approach to modeling and forecasting time series that uses the
theory of evaluative linguistic expressions, fuzzy/linguistic IF–THEN rules and the fuzzy …

This paper presents an R package that supports the use of fuzzy relational calculus and
linguistic fuzzy logic in data processing applications. The lfl package enables computing …

In many modelling problems, there is some inherent monotone relationship between one or
more of the input variables and the output variable. We consider the prototypical case of an …

In this paper, we analyze the minimal set of axioms that overlap indices between fuzzy sets
must fulfill. We also present a method to build overlap indices using overlap functions, and …

In this work, we show that single input single output (SISO) fuzzy inference systems based
on Fuzzy Relational Inference (FRI) with implicative interpretation of the rule base are …

Of the many desirable properties of fuzzy inference systems, not all are known to co-exist.
For instance, a fuzzy inference system should be interpolative, ie, if a fuzzy set equivalent to …

Abstract Systems of fuzzy relational equations belong to key mathematical problems related
to the correct behavior of fuzzy systems, especially of fuzzy inference systems. Indeed, if we …