pyfuzzy | Creating a git clone from the actual sourceforge repos

by arruda Python Version: Current License: LGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pyfuzzy Summary

pyfuzzy is a Python library. pyfuzzy has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

This package is intended to realize fuzzy systems, which operate fuzzy rules on fuzzy sets. (For more information see the documentation at the web page

Support

Quality

Security

License

Reuse

Support

pyfuzzy has a low active ecosystem.

It has 10 star(s) with 7 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyfuzzy is current.

Quality

pyfuzzy has no bugs reported.

Security

pyfuzzy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pyfuzzy is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

pyfuzzy releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed pyfuzzy and discovered the below as its top functions. This is intended to give you an instant insight into pyfuzzy implemented functionality, and help decide if they suit your requirements.

MAKEN .
Substitute subcondition .
Generate documentation for the given object .
Run fuzzy plot .
Merge two sets .
Test a fuzzy set .
Create a 3D plot with the given parameters .
Generate a set of points from a fuzzy set .
Calculate the null - Steffensen equation .
Merges two sets .

Get all kandi verified functions for this library.

pyfuzzy Key Features

No Key Features are available at this moment for pyfuzzy.

pyfuzzy Examples and Code Snippets

No Code Snippets are available at this moment for pyfuzzy.

Community Discussions

Trending Discussions on pyfuzzy

ANTLR3 python runtime not detected

QUESTION

ANTLR3 python runtime not detected

Asked 2018-May-02 at 11:33

I want to use fstpso package in python which needs ANTLR3 python runtime.
I downloaded antlr_python_runtime-3.1.3.tar.gz from http://www.antlr3.org/download/Python/ and ran the command sudo python setup.py install. The output of the command was
Installed /path/to/python/packages/antlr_python_runtime-3.1.3-py2.7.egg

But after this when I try to import fstpso module in python, it throws the error
The ANTLR3 python runtime was not detected; pyfuzzy cannot import FST-PSO's FLC files

I am using python 2.7.12 on linux.

Is there something I did wrong? Or I have to update any PATH in the environment? Thanks for your help!!

...

ANSWER

Answered 2018-May-02 at 11:33

I'm fst-pso main developer. In the last days I reimplemented the Sugeno reasoner from scratch, to finally remove the pufuzzy/ANTL3 dependency. I just uploaded the new package on PyPI.

Now you can pip install the new version of fst-pso (v 1.4.0); please let me know if that works correctly.

Source https://stackoverflow.com/questions/49443086

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyfuzzy

Obviously, in order to use pyfuzzy you must first install it. This is quite easy:. Note that this installs to the "site" library directory of your local Python installation: /usr/local/lib/python2.x/site-packages by default on Unix, "C:\Program Files\Python" by default on Windows. Since pyfuzzy is "package-ized", the installation process will create a subdirectory "fuzzy" under the site library directory.

Support

At using fuzzy sets of type Polygon and Singleton, operations merge and norm calculate wrong result if there are vertical slopes in it. Also because of using Polygon sets at intermediate representation you might change the value of fuzzy.set.Function.Function._resolution according to your needs, when using sets like Pi/S/ZFunction. Another problem arises when using nonlinear operations for fuzzy norms with merge- and norm-functions. Then you should set the segment_size according to your precision needs. (Better precision means more line segments in resulting Polygon set, but needs also more time to compute it.).

Find more information at: