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...
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...
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...
We humans have no problem processing this informal knowledge as long as there is a reasonably small amount of it. In many cases, there is a lot of such knowledge, and we need an automated way to process it. Such processing is called "soft computing". In particular, when this knowledge ...
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, ...
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, ...
Unsupervised learning is a machine learning branch for interpreting unlabeled data. Discover how it works and why it is important with videos, tutorials, and examples.
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, ...
Hybrid soft computing models, based by neural, fuzzy and evolutionary computation technologies, have been applied to a large number of classification, pred... P Bonissone,G Kai - SPIE 被引量: 40发表: 2002年 Data-Defined Problems and Multiversion Neural-Net Systems And, moreover, it is one...
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 ...