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 …

Fuzzy logic presents many potential applications for modelling and simulation. In particular,
this paper analyses one of the most popular fuzzy logic techniques: Mamdani systems …

The Bandler–Kohout subproduct (BKS) method is one of the two widely acknowledged fuzzy
relational inference (FRI) schemes. The previous works related to its stability and robustness …

Fuzzy relational inference (FRI) systems form an important part of approximate reasoning
schemes using fuzzy sets. The compositional rule of inference (CRI), which was introduced …

The elimination of redundant rules in a given system is considered to be an important step
towards its simplicity, clarity, and comprehensibility. In this paper, we return to the problem of …

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 …

The study of fuzzy relations forms an important fundamental of fuzzy reasoning. Among all,
the research on compositional fuzzy relations by Bandler and Kohout, or the Bandler …

Typical state-of-the-art flow cytometry data samples typically consist of measures of 10 to 30
features of more than 100,000 cell “events”. Artificial intelligence (AI) systems are able to …

Fuzzy Logic is a framework particularly useful to formalise and deal with imprecise concepts
and statements expressed in natural language. This paper has three related aims. First, it …