Search Results for "*fuzzy"

This library is used in production in several systems, it is part of the Awesome Go collection. There are also Java and C/C++ versions. The Java, C, C++ and Go version are binary compatible: e.g, you can save bitmaps from a Java program and load them back in Go, and vice versa. We have a format specification. Sets are a fundamental abstraction in software. They can be implemented in various ways, as hash sets, as trees, and so forth. In databases and search engines, sets are often an...

Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use.

framework to create a modern application with web gui through java bean descriptors

Fuzzy Logic Tools (FLT) is a C++ framework for storage, analysis and design of fully general multiple-input multiple-output (MIMO) Takagi-Sugeno fuzzy control systems, without constraints in the order of either the inputs or the output vectors.

A high-performance sensitive word (illegal word/dirty word) detection and filtering component, with a traditional and simplified exchange, supports full-width half-width exchange, Chinese characters to pinyin, fuzzy search, and other functions. C#Language, using StringSearchEx2.Replacefiltering, on a 48k sensitive thesaurus at over 300 million characters per second. (cpu i7 8750h). C#'s own regular is very slow, which StringSearchEx2.ContainsAnyis Regex.IsMatchmore than 88,000 times the efficiency, which is related to the number of keywords. ...

C++ Fuzzy Logic Programming Library - For problem solving in the fuzzy logic domain. It has an object oriented API well suited to C++ syntax for direct inclusion in source code. Portable to platforms that support the C++ STL.

...The plugin aggregates candidates from multiple backends—buffers, tags, dictionaries, file paths, omni/ft-specific sources—and presents them in a unified popup menu with ranking. It supports fuzzy matching, smart case, and incremental narrowing so you can keep typing naturally while suggestions refine in real time. Because it’s written to work efficiently in classic Vim, it became popular among users who wanted modern completion before LSP became commonplace. With careful configuration, it provides a responsive, low-latency experience even on large projects and harmonizes with other editing plugins.

A C++ port of Fuzzy Engine for Java in a form of a library. The Fuzzy Engine is a Fuzzy Logic implementation, which can be used, for instance, to create fuzzy controllers. See also: http://sf.net/projects/fuzzyengine for an updated version for Java.

Interdependent Java frameworks: AMath (abstract numbers support); AFuzzy (fuzzy numbers and methods); AMathSys (flexible solvers of linear and nonlinear algebraic and differential equations); ADSM (multi-criteria ranking and grading of alternatives).

Maveryx is an innovative Test Automation Framework for Java GUI-based applications. It eliminates the GUI Maps dependency by providing a new dynamic GUI objects handling and an expert system detecting and managing AUT changes and defects at runtime.

fuzzyweka provides an implementation of a classifier for fuzzy classification based on fuzzy if-then rules for WEKA.This classifier renowned the Simple Fuzzy Grid method proposed by the work of Ishibuchi and Al.

A fuzzy logic engine written in Java.

Framework java para auxilio a consultas difusas em bancos de dados relacionais.