Please, download it from the links below, and check it out for free! QtFuzzyLite 6: An application to design and operate Fuzzy Logic Controllers QtFuzzyLite 6 is very likely the best application available to easily design and directly operate fuzzy logic controllers in real time.
The Personal License is exclusively for personal use not for use in private or public organisations. Licenses are sold for QtFuzzyLite 6. Prices are shown in New Zealand Dollars. Prices are for a Single License that is only valid for a single computer. After your purchase, you will receive an automatic email with your license.
Each type of license is sold exclusively for its use within the stated domain. Any other use is prohibited. If you have any doubts about licensing, please contact sales fuzzylite. Feb 19, Jan 12, Jul 23, Jul 21, Jul 18, Jul 17, Jul 16, Jul 8, Download the file for your platform.
If you're not sure which to choose, learn more about installing packages. Warning Some features may not work without JavaScript. Please try enabling it if you encounter problems. Search PyPI Search. Latest version Released: Oct 1, Fuzzy Logic for Python 3. Navigation Project description Release history Download files. Project links Homepage. Maintainers amogorkon.
Project description Project details Release history Download files Project description Fuzzy Logic for Python 3 This is the fourth time I rebuilt this library from scratch to find the sweet spot between ease of use beautiful is better than ugly!
Why a new library? The Idea So, the idea is to have three parts that work together: domains, sets and rules. Warning: Magic To make it possible to write fuzzy logic in the most pythonic and simplest way imaginable, it was necessary to employ some magic tricks that normally are discouraged, but at least there's no black magic involved aka meta-programming etc.
Most notably: all functions are recursive closures which makes it kinda hard to serialize things, if you really want to do that The main classes use a lot of dunder methods to implement their logic, which can be a bit daunting at first glance Domain and Set uses an assignment trick to make it possible to instantiate Set without passing domain and name over and over yet still be explicit, just not the way one would normally expect.
This also allows to call sets as Domain. However, this allows interesting things like dangling sets sets without domains that can be freely combined with other sets to avoid cluttering of domain-namespaces and just have the resulting set assigned to a domain to work with.
Installation Just enter python -m pip install fuzzylogic in a commandline prompt and you should be good to go! Have fun! Office Hours You can also contact me one-on-one! Project details Project links Homepage. Download files Download the file for your platform.
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