A type-2 fuzzy logic library providing:
- Ways to define and work with general type-2 fuzzy sets
- Ways to define and work with interval type-2 fuzzy sets
- Ways to generate z-sliced sets from general type-2 fuzzy sets
- Functions to perform wavy-slice type-reduction (Mendel-John) on general type-2 fuzzy sets
- Functions to perform interval type-2 reduction (Karnik-Mendel)
- Functions to perform partial-centroid type-reduction on general type-2 fuzzy sets
- Functions to perform defuzzification of type-1 fuzzy sets
- Tools to measure the performance of algorithms
- Tools to plot general, interval and z-sliced type-2 fuzzy sets and type-1 fuzzy sets and more
- Ways to define and work with type-1 fuzzy sets
- Ways to define and work with type-1 linguistic variables
and more
All type2fuzzy wheels distributed on PyPI are BSD licensed.
Examples of how this library was used to work some famous type-2 fuzzy logic papers can be found here.
The official website for this library can be found here.
- moved to github actions from circle ci
- updated numpy and matplotlib versions
- Renamed add_element in IntervalType2FuzzySet to add_element_from_crispset
- Added add_element_from_values to IntervalType2FuzzySet
- new version of documentation in html
- type-1 fuzzy variable implemented str
- type-1 fuzzy variable implemented get_set
- type-1 fuzzy variable add_triangular_set returns created set
- Type-1 fuzzy set has a name attribute and a name property
- Type-1 fuzzy variable has a name attribute and a name property
- Unit tests for above
- added type-1 fuzzy variable
- Fixed bugs in creation of type-1 fuzzy sets
- Moved project in a virtualenv
- Added more type-1 fuzzy set unit tests
- Added generation of triangular type-1 sets unit test. Removed extended method
- Fixed bug in generation of triangular type-1 sets
- Ability to create Interval Type-2 fuzzy sets having a gaussian function with fixed mean and fixed standard deviation as per Karnik and Mendel 1996 - Karnik, Nilesh N., and Jerry M. Mendel. "Introduction to type-2 fuzzy logic systems." 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No. 98CH36228). Vol. 2. IEEE, 1998.
- An experimental way to define General Type-2 fuzzy sets through horizontal slices
- Updated repo information
- Added library website
- Convert a gt2fs into an it2fs -An it2fs can be generated form a gt2fs by using from_general_type2_set
- Creation of it2fs as found in literature - Creation of it2fs as specified by Karnik and Mendel