The aim of this short note is twofold: recounting how our research group became interested in fuzzy logic, and briefly discussing a definition of fuzzy logic suggested by Bĕhounek and Cintula (see [1]doi:10.1007/978-3-642-35641-4-32Roberto Giuntini...
A trend that is growing in visibility relates to the use of fuzzy logic in combination with neurocomputing and genetic algorithms. More generally, fuzzy logic, neurocomputing, and genetic algorithms may be viewed as the principal constituents of what might be called soft computing. Unlike the trad...
In the partnership of fuzzy logic, neuro- computing, and probabilistic reasoning, fuzzy logic is mainly concerned with imprecision and approximate reason- ing; neurocomputing with learning and curve-fitting; and probabilistic reason- ing with uncertainty and belief propa- gation. We can imagine this...
Although a good amount of theory has evolved over the last 30 years about the desirable or "good" properties of membership values for fuzzy sets and relations, relatively little is known about how to define the membership values in an objective way to satisfy those properties. As a result, ...
Is a world (objects and subjects) created by technical means, transmitted to a person through his sensations: sight, hearing, smell, touch, etc. Virtual reality imitates both impact and responses to exposure. Published in Chapter: Electronic Government Aizhan Baimukhamedova (Gazi University, ...
This paper just tries to look towards a particular aspect of fuzzy logic’s future. Namely, that concerning to the form in which its theoretic evolution should be followed up to approach, in a scientific manner, one of the greats desiderata in the way to
In large measure, the methodologies are complementary; and yet, there is an element of competition among them. In this setting, what makes sense is formation of a coalition. It is this perception that motivated the genesis of soft computing − a coalition of fuzzy logic, neurocomputing, ...
Binary logic is a set of rules for dealing with propositions that have to be either true or false. The main applications of binary...
Keywords Interpretability · Explainability · XAI · Medical AI 1 Introduction Two sets of conceptual problems have gained prominence in theoretical engagements with artificial neural networks (ANNs). The first is whether ANNs are explainable, and, if they are, what it means to explain their ...
It shows how to adapt any kind of parameterized differentiable Critic or Action system; it uses a notation which allows one to plug in a neural network, an adaptable fuzzy logic system, an econometric system, a soft gain-scheduling system, or anything else of that sort. It describes a ...