This major point release includes a number of improvements, primarily to the `skfuzzy.control` submodule. A significant bug was squashed, the entire system is markedly more performant, and users can now more intuitively control the aggregation method.
* Fixed a memory leak on repeated, cached simulations not entirely flushing the cache (120)
* AND/OR aggregation methods are now directly exposed to the user (126)
* `np.interp` is used under the hood, resulting in major performance improvements (130)
* System visualization commands uniformly return both Matplotlib fig/axis objects, and better documented (133/136)
Thanks for using Scikit-Fuzzy, your reports keep making the package better!