Fuzzy Computing: Basic Concepts. Sample application (sources) - 46KSample application (binaries) - 27K (Note: The application's sources may be obtained also as part of AForge.NET Framework) Introduction: Fuzzy Computing Fuzzy Logic, the core of the Fuzzy Computing, was introduced by professor Lofti A.
Zadeh in 1965, as an alternative approach to solve problems when the classical set theory and discrete mathematics, therefore the classical algorithms, are unappropriate or too complex to use. To address a certain class of problems which a human being can solve easly, an approach that do not relies on mathematical rigor and precision, but an approach fault tolerant that can handle partial truths. The Fuzzy Computing can handle qualitative values instead of quantitative values. Fuzzy Framework. Introduction In the following article, we briefly introduce Fuzzy Framework library which supports calculations based on fuzzy logic in .NET.
In past, there have been a couple of similar projects like the one described in [3], but no one matched exactly my requirements: Simplicity - everyone can understand the code, extend it, and make use of it throughout his systems. Framework. AForge.NET is an open source C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, fuzzy logic, machine learning, robotics, etc.
The framework is comprised by the set of libraries and sample applications, which demonstrate their features: AForge.Imaging - library with image processing routines and filters;AForge.Vision - computer vision library;AForge.Video - set of libraries for video processing;AForge.Neuro - neural networks computation library;AForge.Genetic - evolution programming library;AForge.Fuzzy - fuzzy computations library;AForge.Robotics - library providing support of some robotics kits;AForge.MachineLearning - machine learning library;etc. The work on the framework's improvement is in constants progress, what means that new feature and namespaces are coming constantly. Accord.NET Framework. Machine Learning Repository: Data Sets.