fuzzc | A simple python module to leverage fuzzy control algorithms

 by   KiLJ4EdeN Python Version: 0.1 License: MIT

kandi X-RAY | fuzzc Summary

kandi X-RAY | fuzzc Summary

fuzzc is a Python library. fuzzc has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install fuzzc' or download it from GitHub, PyPI.

A simple python module to Use fuzzy logic. All the methods return the Fuzzy_Set class. Which is easy to use compared to traditional numpy arrays. Hint that the module is still in proggress. Any contribution is welcome. The idea is to provide a utility, with the ability to compete with matlab.
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            kandi-support Support

              fuzzc has a low active ecosystem.
              It has 7 star(s) with 3 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 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 fuzzc is 0.1

            kandi-Quality Quality

              fuzzc has 0 bugs and 0 code smells.

            kandi-Security Security

              fuzzc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              fuzzc code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              fuzzc is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fuzzc releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed fuzzc and discovered the below as its top functions. This is intended to give you an instant insight into fuzzc implemented functionality, and help decide if they suit your requirements.
            • Compute the similarity between two Fuzzy sets .
            • Computes the similarity between two sets .
            • r Compute the accuracy of two objects .
            • Compute the projection of a matrix .
            • Compute the fuzziness of a Fuzzy_Set .
            • Print fuzzy set
            • Add two fuzzy set .
            • Creates a fuzzy set of points .
            • Plot the membership of the fuzzy set .
            • Initialize the fuzzy set .
            Get all kandi verified functions for this library.

            fuzzc Key Features

            No Key Features are available at this moment for fuzzc.

            fuzzc Examples and Code Snippets

            No Code Snippets are available at this moment for fuzzc.

            Community Discussions

            No Community Discussions are available at this moment for fuzzc.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install fuzzc

            You can install using 'pip install fuzzc' or download it from GitHub, PyPI.
            You can use fuzzc like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install fuzzc

          • CLONE
          • HTTPS

            https://github.com/KiLJ4EdeN/fuzzc.git

          • CLI

            gh repo clone KiLJ4EdeN/fuzzc

          • sshUrl

            git@github.com:KiLJ4EdeN/fuzzc.git

          • Download

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